{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Output\CROAs.JPART MOVE POLITICIZATION TO PEOS MODELS.06-18-2022.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}18 Jun 2022, 19:07:58
{txt}
{com}. 
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. *** MODELING THE EFFECTS OF CENTRALIZED REPORTING ON THE HANDLING OF EMPLOYEE DISCRIMINATION CASES IN U.S. FEDERAL AGENCIES [KRAUSE & PARK] ***
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. **** ACCESS DATABASE ***
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. use "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\CROAs.Krause&Park.06-08-2022.dta", replace
{txt}
{com}. 
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. *** TESTING H1: EVALUATING THE TOTAL NUMBER OF REPORTED DISCRIMINATION CASES [EVENT COUNT OUTCOME EXPONENTIAL MODEL) ****  
. 
. 
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. ****  ESTIMATE ENDOGENOUS TREATMENT EFFECTS MODELS ON AGGREGATE COUNTS OF REPORTED CASES OF DISCRIMINATION ///
> ****  [I.E., # SETTLEMENTS (INFORMAL) + # WITHDRAWN (INFORMAL) + # FORMAL COMPLAINT FILED DISCRIMINATION CASES] ****
. 
. ** NOTE: ALL PRIVATE RESOLUTION CASES OCCUR ONLY AFTER TRADITIONAL COUNSELING OR ALTERNATIVE DISPUTE RESOLUTION COUNSELING HAS BEEN COMPLETED **
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (sumintextreport_count fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, exponential) ///
> (direct_reporting lagsumintextreport_count fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. , vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 7.614e-23}  
Iteration 1:{space 3}EE criterion = {res: 9.321e-26}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       506
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 90:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}   sumintextreport_count{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                      {txt}{c |}
{space 8}direct_reporting {c |}
{space 15}(1 vs 0)  {c |}{col 26}{res}{space 2} 183.2721{col 38}{space 2} 59.65466{col 49}{space 1}    3.07{col 58}{space 3}0.002{col 66}{space 4} 66.35109{col 79}{space 3} 300.1931
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean                   {txt}{c |}
{space 8}direct_reporting {c |}
{space 22}0  {c |}{col 26}{res}{space 2} 71.23511{col 38}{space 2} 17.98911{col 49}{space 1}    3.96{col 58}{space 3}0.000{col 66}{space 4}  35.9771{col 79}{space 3} 106.4931
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                     {txt}{c |}
lagsumintextreport_count {c |}{col 26}{res}{space 2} .0011183{col 38}{space 2}  .000635{col 49}{space 1}    1.76{col 58}{space 3}0.078{col 66}{space 4}-.0001262{col 79}{space 3} .0023628
{txt}{space 12}fairnessgsem {c |}{col 26}{res}{space 2} .6693512{col 38}{space 2} .3021903{col 49}{space 1}    2.21{col 58}{space 3}0.027{col 66}{space 4} .0770691{col 79}{space 3} 1.261633
{txt}{space 9}ratio_fsup_msup {c |}{col 26}{res}{space 2}-.5411675{col 38}{space 2} .3191768{col 49}{space 1}   -1.70{col 58}{space 3}0.090{col 66}{space 4}-1.166743{col 79}{space 3} .0844075
{txt}{space 4}ratio_minsup_nonmsup {c |}{col 26}{res}{space 2} .0640188{col 38}{space 2} .1578553{col 49}{space 1}    0.41{col 58}{space 3}0.685{col 66}{space 4}-.2453719{col 79}{space 3} .3734095
{txt}{space 4}lntotworkforce_count {c |}{col 26}{res}{space 2}-.0823884{col 38}{space 2}  .089876{col 49}{space 1}   -0.92{col 58}{space 3}0.359{col 66}{space 4}-.2585421{col 79}{space 3} .0937653
{txt}{space 15}nonnested {c |}{col 26}{res}{space 2} .7289036{col 38}{space 2} .2552222{col 49}{space 1}    2.86{col 58}{space 3}0.004{col 66}{space 4} .2286772{col 79}{space 3}  1.22913
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} .8679598{col 38}{space 2} .7836008{col 49}{space 1}    1.11{col 58}{space 3}0.268{col 66}{space 4}-.6678696{col 79}{space 3} 2.403789
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                     {txt}{c |}
{space 12}fairnessgsem {c |}{col 26}{res}{space 2}-.9122577{col 38}{space 2} .2620729{col 49}{space 1}   -3.48{col 58}{space 3}0.000{col 66}{space 4}-1.425911{col 79}{space 3}-.3986043
{txt}{space 9}ratio_fsup_msup {c |}{col 26}{res}{space 2} .2801554{col 38}{space 2} .2285916{col 49}{space 1}    1.23{col 58}{space 3}0.220{col 66}{space 4}-.1678759{col 79}{space 3} .7281866
{txt}{space 4}ratio_minsup_nonmsup {c |}{col 26}{res}{space 2} .0086409{col 38}{space 2} .0901951{col 49}{space 1}    0.10{col 58}{space 3}0.924{col 66}{space 4}-.1681381{col 79}{space 3}   .18542
{txt}{space 4}lntotworkforce_count {c |}{col 26}{res}{space 2} .8463352{col 38}{space 2} .0619144{col 49}{space 1}   13.67{col 58}{space 3}0.000{col 66}{space 4} .7249852{col 79}{space 3} .9676851
{txt}{space 7}politicization_lb {c |}{col 26}{res}{space 2}-2.238169{col 38}{space 2} 1.374807{col 49}{space 1}   -1.63{col 58}{space 3}0.104{col 66}{space 4}-4.932741{col 79}{space 3} .4564023
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} -4.30204{col 38}{space 2} .6984435{col 49}{space 1}   -6.16{col 58}{space 3}0.000{col 66}{space 4}-5.670964{col 79}{space 3}-2.933115
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                     {txt}{c |}
{space 12}fairnessgsem {c |}{col 26}{res}{space 2}-.7491034{col 38}{space 2}   .17375{col 49}{space 1}   -4.31{col 58}{space 3}0.000{col 66}{space 4}-1.089647{col 79}{space 3}-.4085596
{txt}{space 9}ratio_fsup_msup {c |}{col 26}{res}{space 2}  .324912{col 38}{space 2} .1141775{col 49}{space 1}    2.85{col 58}{space 3}0.004{col 66}{space 4} .1011281{col 79}{space 3} .5486958
{txt}{space 4}ratio_minsup_nonmsup {c |}{col 26}{res}{space 2}-.0663969{col 38}{space 2} .0797835{col 49}{space 1}   -0.83{col 58}{space 3}0.405{col 66}{space 4}-.2227696{col 79}{space 3} .0899758
{txt}{space 4}lntotworkforce_count {c |}{col 26}{res}{space 2} .8799089{col 38}{space 2} .0525426{col 49}{space 1}   16.75{col 58}{space 3}0.000{col 66}{space 4} .7769273{col 79}{space 3} .9828906
{txt}{space 7}politicization_lb {c |}{col 26}{res}{space 2} 1.156236{col 38}{space 2} 2.798197{col 49}{space 1}    0.41{col 58}{space 3}0.679{col 66}{space 4}-4.328128{col 79}{space 3} 6.640601
{txt}{space 19}_cons {c |}{col 26}{res}{space 2}-3.233076{col 38}{space 2} .6495745{col 49}{space 1}   -4.98{col 58}{space 3}0.000{col 66}{space 4}-4.506218{col 79}{space 3}-1.959933
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                    {txt}{c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-1.730847{col 38}{space 2} .5373505{col 49}{space 1}   -3.22{col 58}{space 3}0.001{col 66}{space 4}-2.784034{col 79}{space 3} -.677659
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                    {txt}{c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-.9292071{col 38}{space 2} .3466927{col 49}{space 1}   -2.68{col 58}{space 3}0.007{col 66}{space 4}-1.608712{col 79}{space 3}-.2497019
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H1ATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}   15.20
{txt}{col 10}Prob > chi2 =  {res}  0.0005
{txt}
{com}. 
. 
. 
. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. 
. eteffects (sumintextreport_count fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb , exponential) ///
> (direct_reporting lagsumintextreport_count fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. , vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 7.614e-23}  
Iteration 1:{space 3}EE criterion = {res: 8.319e-26}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       506
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 90:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}   sumintextreport_count{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                     {txt}{c |}
{space 8}direct_reporting {c |}
{space 15}(1 vs 0)  {c |}{col 26}{res}{space 2} 189.1768{col 38}{space 2} 66.00625{col 49}{space 1}    2.87{col 58}{space 3}0.004{col 66}{space 4} 59.80691{col 79}{space 3} 318.5467
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean                   {txt}{c |}
{space 8}direct_reporting {c |}
{space 22}0  {c |}{col 26}{res}{space 2} 47.41655{col 38}{space 2} 26.44007{col 49}{space 1}    1.79{col 58}{space 3}0.073{col 66}{space 4}-4.405033{col 79}{space 3} 99.23814
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H1ATET
{txt}
{com}. *
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. 
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. ****************************************************************************************************************************************************************************
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. ****************************************************************************************************************************************************************************
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. 
. *** TESTING H2: EVALUATING THE PROPORTION OF PRIVATE RESOLUTION CASES: TOTAL, SETTLEMENT ONLY, & WITHDRAWN ONLY [FRACTIONAL PROBIT OUTCOME MODEL) ****  
. 
. 
. 
. 
. 
. **** ESTIMATE ENDOGENOUS TREATMENT EFFECTS MODELS ON PROPORTION OF TOTAL PRIVATE RESOLUTION WITHIN AGENCY ///
> **** [I.E., (# SETTLEMENTS + # WITHDRAWN) / (# SETTLEMENTS + # WITHDRAWN + # FORMAL COMPLAINTS FILED) DISCRIMINATION CASES] ****
. 
. ** NOTE: ALL PRIVATE RESOLUTION CASES OCCUR ONLY AFTER TRADITIONAL COUNSELING OR ALTERNATIVE DISPUTE RESOLUTION COUNSELING HAS BEEN COMPLETED **
. 
. 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (intrep_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb , fractional) ///
> (direct_reporting lagintrep_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count nonnested) if intrep_prop!=. , vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 8.890e-20}  
Iteration 1:{space 3}EE criterion = {res: 1.916e-33}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       501
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         intrep_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .3027036{col 34}{space 2} .1023174{col 45}{space 1}    2.96{col 54}{space 3}0.003{col 62}{space 4} .1021651{col 75}{space 3}  .503242
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .2254449{col 34}{space 2} .0533589{col 45}{space 1}    4.23{col 54}{space 3}0.000{col 62}{space 4} .1208634{col 75}{space 3} .3300263
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 6}lagintrep_prop {c |}{col 22}{res}{space 2} .8462823{col 34}{space 2} .4502133{col 45}{space 1}    1.88{col 54}{space 3}0.060{col 62}{space 4}-.0361196{col 75}{space 3} 1.728684
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .5757639{col 34}{space 2} .2993024{col 45}{space 1}    1.92{col 54}{space 3}0.054{col 62}{space 4}-.0108579{col 75}{space 3} 1.162386
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.4919584{col 34}{space 2} .3121744{col 45}{space 1}   -1.58{col 54}{space 3}0.115{col 62}{space 4}-1.103809{col 75}{space 3} .1198922
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} .0452568{col 34}{space 2} .1536299{col 45}{space 1}    0.29{col 54}{space 3}0.768{col 62}{space 4}-.2558523{col 75}{space 3} .3463659
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0936753{col 34}{space 2} .0727603{col 45}{space 1}    1.29{col 54}{space 3}0.198{col 62}{space 4}-.0489322{col 75}{space 3} .2362829
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} .7730226{col 34}{space 2} .2640312{col 45}{space 1}    2.93{col 54}{space 3}0.003{col 62}{space 4} .2555309{col 75}{space 3} 1.290514
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.8711459{col 34}{space 2} .7438007{col 45}{space 1}   -1.17{col 54}{space 3}0.242{col 62}{space 4}-2.328968{col 75}{space 3} .5866767
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.0996405{col 34}{space 2} .2004213{col 45}{space 1}   -0.50{col 54}{space 3}0.619{col 62}{space 4} -.492459{col 75}{space 3} .2931779
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .2319569{col 34}{space 2}  .173106{col 45}{space 1}    1.34{col 54}{space 3}0.180{col 62}{space 4}-.1073246{col 75}{space 3} .5712384
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.0487344{col 34}{space 2} .0831283{col 45}{space 1}   -0.59{col 54}{space 3}0.558{col 62}{space 4}-.2116628{col 75}{space 3}  .114194
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0560618{col 34}{space 2}  .053135{col 45}{space 1}   -1.06{col 54}{space 3}0.291{col 62}{space 4}-.1602045{col 75}{space 3} .0480808
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2}-1.116671{col 34}{space 2} .9442078{col 45}{space 1}   -1.18{col 54}{space 3}0.237{col 62}{space 4}-2.967285{col 75}{space 3} .7339418
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.4969577{col 34}{space 2} .4160438{col 45}{space 1}   -1.19{col 54}{space 3}0.232{col 62}{space 4}-1.312389{col 75}{space 3} .3184732
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.1778226{col 34}{space 2} .1690317{col 45}{space 1}   -1.05{col 54}{space 3}0.293{col 62}{space 4}-.5091186{col 75}{space 3} .1534734
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .1438654{col 34}{space 2} .1151229{col 45}{space 1}    1.25{col 54}{space 3}0.211{col 62}{space 4}-.0817714{col 75}{space 3} .3695021
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.0395145{col 34}{space 2} .0368675{col 45}{space 1}   -1.07{col 54}{space 3}0.284{col 62}{space 4}-.1117734{col 75}{space 3} .0327444
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0297033{col 34}{space 2} .0259422{col 45}{space 1}    1.14{col 54}{space 3}0.252{col 62}{space 4}-.0211425{col 75}{space 3}  .080549
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2} 1.843535{col 34}{space 2} 1.219297{col 45}{space 1}    1.51{col 54}{space 3}0.131{col 62}{space 4}-.5462438{col 75}{space 3} 4.233314
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.2884114{col 34}{space 2} .3613806{col 45}{space 1}   -0.80{col 54}{space 3}0.425{col 62}{space 4}-.9967044{col 75}{space 3} .4198817
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-1.219213{col 34}{space 2} .5462563{col 45}{space 1}   -2.23{col 54}{space 3}0.026{col 62}{space 4}-2.289856{col 75}{space 3}  -.14857
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.6290698{col 34}{space 2} .4543273{col 45}{space 1}   -1.38{col 54}{space 3}0.166{col 62}{space 4}-1.519535{col 75}{space 3} .2613953
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H2ATE
{txt}
{com}. * 
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    5.31
{txt}{col 10}Prob > chi2 =  {res}  0.0701
{txt}
{com}. 
. 
. 
. 
. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (intrep_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb , fractional) ///
> (direct_reporting lagintrep_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count nonnested) if intrep_prop!=. , vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 8.890e-20}  
Iteration 1:{space 3}EE criterion = {res: 2.144e-33}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       501
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         intrep_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .3417087{col 34}{space 2} .0928868{col 45}{space 1}    3.68{col 54}{space 3}0.000{col 62}{space 4} .1596539{col 75}{space 3} .5237635
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .0928888{col 34}{space 2} .0850257{col 45}{space 1}    1.09{col 54}{space 3}0.275{col 62}{space 4}-.0737586{col 75}{space 3} .2595361
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H2ATET
{txt}
{com}. *
. 
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. **** TESTING H3.A:  ESTIMATE ENDOGENOUS TREATMENT EFFECTS MODELS ON PROPORTION OF WITHDRAWN PRIVATE RESOLUTIONS WITHIN AGENCY  ****
. **** [I.E., (# WITHDRAWN) / (# SETTLEMENTS + # WITHDRAWN + # FORMAL COMPLAINTS FILED) DISCRIMINATION CASES] ****
. 
. 
. ** NOTE: ALL PRIVATE RESOLUTION CASES OCCUR ONLY AFTER TRADITIONAL COUNSELING OR ALTERNATIVE DISPUTE RESOLUTION COUNSELING HAS BEEN COMPLETED **
. 
. 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (withdraw_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, fractional) ///
> (direct_reporting lagwithdraw_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count nonnested)  if intrep_prop!=. , vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 2.493e-19}  
Iteration 1:{space 3}EE criterion = {res: 4.372e-33}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       501
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       withdraw_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .2808357{col 34}{space 2} .0987525{col 45}{space 1}    2.84{col 54}{space 3}0.004{col 62}{space 4} .0872843{col 75}{space 3} .4743871
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .1826948{col 34}{space 2} .0382186{col 45}{space 1}    4.78{col 54}{space 3}0.000{col 62}{space 4} .1077878{col 75}{space 3} .2576018
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 4}lagwithdraw_prop {c |}{col 22}{res}{space 2}  .806339{col 34}{space 2}   .39969{col 45}{space 1}    2.02{col 54}{space 3}0.044{col 62}{space 4}  .022961{col 75}{space 3} 1.589717
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .5843628{col 34}{space 2} .2996041{col 45}{space 1}    1.95{col 54}{space 3}0.051{col 62}{space 4}-.0028505{col 75}{space 3} 1.171576
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.4925989{col 34}{space 2} .3109606{col 45}{space 1}   -1.58{col 54}{space 3}0.113{col 62}{space 4}-1.102071{col 75}{space 3} .1168728
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} .0396248{col 34}{space 2} .1525114{col 45}{space 1}    0.26{col 54}{space 3}0.795{col 62}{space 4} -.259292{col 75}{space 3} .3385417
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0912458{col 34}{space 2} .0730696{col 45}{space 1}    1.25{col 54}{space 3}0.212{col 62}{space 4}-.0519681{col 75}{space 3} .2344596
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} .7682686{col 34}{space 2} .2651602{col 45}{space 1}    2.90{col 54}{space 3}0.004{col 62}{space 4} .2485642{col 75}{space 3} 1.287973
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.7542405{col 34}{space 2} .7317924{col 45}{space 1}   -1.03{col 54}{space 3}0.303{col 62}{space 4}-2.188527{col 75}{space 3} .6800464
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.0039906{col 34}{space 2} .1584916{col 45}{space 1}   -0.03{col 54}{space 3}0.980{col 62}{space 4}-.3146284{col 75}{space 3} .3066473
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .1631208{col 34}{space 2} .1256856{col 45}{space 1}    1.30{col 54}{space 3}0.194{col 62}{space 4}-.0832185{col 75}{space 3} .4094601
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} .0111641{col 34}{space 2} .0549292{col 45}{space 1}    0.20{col 54}{space 3}0.839{col 62}{space 4}-.0964951{col 75}{space 3} .1188233
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0188037{col 34}{space 2} .0376133{col 45}{space 1}    0.50{col 54}{space 3}0.617{col 62}{space 4}-.0549171{col 75}{space 3} .0925245
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2}-.7677058{col 34}{space 2} .7087653{col 45}{space 1}   -1.08{col 54}{space 3}0.279{col 62}{space 4} -2.15686{col 75}{space 3} .6214486
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.246801{col 34}{space 2} .3330592{col 45}{space 1}   -3.74{col 54}{space 3}0.000{col 62}{space 4}-1.899585{col 75}{space 3}-.5940168
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.2768562{col 34}{space 2} .1751999{col 45}{space 1}   -1.58{col 54}{space 3}0.114{col 62}{space 4}-.6202416{col 75}{space 3} .0665293
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .1598098{col 34}{space 2} .1311402{col 45}{space 1}    1.22{col 54}{space 3}0.223{col 62}{space 4}-.0972203{col 75}{space 3} .4168399
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.0326015{col 34}{space 2} .0456258{col 45}{space 1}   -0.71{col 54}{space 3}0.475{col 62}{space 4}-.1220264{col 75}{space 3} .0568235
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0158712{col 34}{space 2} .0280544{col 45}{space 1}    0.57{col 54}{space 3}0.572{col 62}{space 4}-.0391144{col 75}{space 3} .0708568
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2} 1.521834{col 34}{space 2} 1.007143{col 45}{space 1}    1.51{col 54}{space 3}0.131{col 62}{space 4}-.4521294{col 75}{space 3} 3.495797
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.3372617{col 34}{space 2}  .376615{col 45}{space 1}   -0.90{col 54}{space 3}0.371{col 62}{space 4}-1.075413{col 75}{space 3} .4008901
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.8791051{col 34}{space 2} .3669485{col 45}{space 1}   -2.40{col 54}{space 3}0.017{col 62}{space 4}-1.598311{col 75}{space 3}-.1598992
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.7611812{col 34}{space 2} .4707485{col 45}{space 1}   -1.62{col 54}{space 3}0.106{col 62}{space 4}-1.683831{col 75}{space 3}  .161469
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H3aATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    5.92
{txt}{col 10}Prob > chi2 =  {res}  0.0518
{txt}
{com}. 
. 
. 
. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (withdraw_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, fractional) ///
> (direct_reporting lagwithdraw_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count nonnested)  if intrep_prop!=. , vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 2.493e-19}  
Iteration 1:{space 3}EE criterion = {res: 3.942e-33}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       501
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       withdraw_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .2525913{col 34}{space 2} .0675334{col 45}{space 1}    3.74{col 54}{space 3}0.000{col 62}{space 4} .1202282{col 75}{space 3} .3849544
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2}  .096166{col 34}{space 2} .0599103{col 45}{space 1}    1.61{col 54}{space 3}0.108{col 62}{space 4} -.021256{col 75}{space 3} .2135881
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H3aATET
{txt}
{com}. *
. 
. 
. 
. 
.  
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. **** TESTING H3.B: ESTIMATE ENDOGENOUS TREATMENT EFFECTS MODELS ON PROPORTION OF SETTLEMENT PRIVATE RESOLUTIONS WITHIN AGENCY  ****
. **** [I.E., (# SETTLEMENTS) / (# SETTLEMENTS + # WITHDRAWN + # FORMAL COMPLAINTS FILED) DISCRIMINATION CASES] ****
. 
. 
. ** NOTE: ALL PRIVATE RESOLUTION CASES OCCUR ONLY AFTER TRADITIONAL COUNSELING OR ALTERNATIVE DISPUTE RESOLUTION COUNSELING HAS BEEN COMPLETED **
. 
. 
. 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (settle_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, fractional) ///
> (direct_reporting lagsettle_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count nonnested) if intrep_prop!=. , vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.535e-17}  
Iteration 1:{space 3}EE criterion = {res: 2.404e-31}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       501
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         settle_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .0109041{col 34}{space 2} .0797596{col 45}{space 1}    0.14{col 54}{space 3}0.891{col 62}{space 4}-.1454219{col 75}{space 3} .1672301
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .0745207{col 34}{space 2} .0537252{col 45}{space 1}    1.39{col 54}{space 3}0.165{col 62}{space 4}-.0307788{col 75}{space 3} .1798201
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 6}lagsettle_prop {c |}{col 22}{res}{space 2} .3320136{col 34}{space 2}  .772063{col 45}{space 1}    0.43{col 54}{space 3}0.667{col 62}{space 4}-1.181202{col 75}{space 3} 1.845229
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .5819608{col 34}{space 2} .2977527{col 45}{space 1}    1.95{col 54}{space 3}0.051{col 62}{space 4}-.0016238{col 75}{space 3} 1.165545
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.4782325{col 34}{space 2} .3113213{col 45}{space 1}   -1.54{col 54}{space 3}0.125{col 62}{space 4}-1.088411{col 75}{space 3}  .131946
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} .0475055{col 34}{space 2} .1526862{col 45}{space 1}    0.31{col 54}{space 3}0.756{col 62}{space 4} -.251754{col 75}{space 3}  .346765
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0989441{col 34}{space 2} .0730124{col 45}{space 1}    1.36{col 54}{space 3}0.175{col 62}{space 4}-.0441577{col 75}{space 3} .2420458
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} .8127771{col 34}{space 2}  .264041{col 45}{space 1}    3.08{col 54}{space 3}0.002{col 62}{space 4} .2952662{col 75}{space 3} 1.330288
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.6118282{col 34}{space 2} .7369105{col 45}{space 1}   -0.83{col 54}{space 3}0.406{col 62}{space 4}-2.056146{col 75}{space 3} .8324898
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.0547374{col 34}{space 2} .2961269{col 45}{space 1}   -0.18{col 54}{space 3}0.853{col 62}{space 4}-.6351355{col 75}{space 3} .5256606
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .1099062{col 34}{space 2} .1913561{col 45}{space 1}    0.57{col 54}{space 3}0.566{col 62}{space 4}-.2651449{col 75}{space 3} .4849574
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.1009788{col 34}{space 2} .0884415{col 45}{space 1}   -1.14{col 54}{space 3}0.254{col 62}{space 4}-.2743209{col 75}{space 3} .0723634
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.1289708{col 34}{space 2} .0767478{col 45}{space 1}   -1.68{col 54}{space 3}0.093{col 62}{space 4}-.2793938{col 75}{space 3} .0214522
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2}-.6230766{col 34}{space 2} 1.036404{col 45}{space 1}   -0.60{col 54}{space 3}0.548{col 62}{space 4}-2.654391{col 75}{space 3} 1.408238
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}  -.39452{col 34}{space 2} .5611328{col 45}{space 1}   -0.70{col 54}{space 3}0.482{col 62}{space 4} -1.49432{col 75}{space 3} .7052801
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .1444072{col 34}{space 2} .2132314{col 45}{space 1}    0.68{col 54}{space 3}0.498{col 62}{space 4}-.2735187{col 75}{space 3} .5623331
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .0155013{col 34}{space 2} .1595546{col 45}{space 1}    0.10{col 54}{space 3}0.923{col 62}{space 4}-.2972199{col 75}{space 3} .3282225
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.0361555{col 34}{space 2} .0345908{col 45}{space 1}   -1.05{col 54}{space 3}0.296{col 62}{space 4}-.1039522{col 75}{space 3} .0316411
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0362456{col 34}{space 2} .0306381{col 45}{space 1}    1.18{col 54}{space 3}0.237{col 62}{space 4} -.023804{col 75}{space 3} .0962952
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2} .7936116{col 34}{space 2} 1.161417{col 45}{space 1}    0.68{col 54}{space 3}0.494{col 62}{space 4}-1.482724{col 75}{space 3} 3.069948
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.713663{col 34}{space 2} .4565938{col 45}{space 1}   -3.75{col 54}{space 3}0.000{col 62}{space 4}-2.608571{col 75}{space 3}-.8187559
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.4483913{col 34}{space 2} .9447411{col 45}{space 1}   -0.47{col 54}{space 3}0.635{col 62}{space 4} -2.30005{col 75}{space 3} 1.403267
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.0157974{col 34}{space 2} .6059374{col 45}{space 1}   -0.03{col 54}{space 3}0.979{col 62}{space 4}-1.203413{col 75}{space 3} 1.171818
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H3bATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    0.25
{txt}{col 10}Prob > chi2 =  {res}  0.8842
{txt}
{com}. 
. 
. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (settle_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, fractional) ///
> (direct_reporting lagsettle_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count nonnested)  if intrep_prop!=. , vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.535e-17}  
Iteration 1:{space 3}EE criterion = {res: 2.368e-31}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       501
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         settle_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .0351443{col 34}{space 2} .0925795{col 45}{space 1}    0.38{col 54}{space 3}0.704{col 62}{space 4}-.1463082{col 75}{space 3} .2165969
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .0507163{col 34}{space 2} .0896882{col 45}{space 1}    0.57{col 54}{space 3}0.572{col 62}{space 4}-.1250694{col 75}{space 3}  .226502
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H3bATET
{txt}
{com}. *
. 
. coefplot (H1ATE, rename(r1vs0.direct_reporting="ATE") \ H1ATET, rename(r1vs0.direct_reporting="ATET")),ylabel(-50 (100) 350, angle(horizon)) yscale(range (-50 (100) 350)) bylabel(Total Caseloads) vertical yline (0, lcolor(black) lwidth(thin) lpattern(dash)) grid(n) ciopts(recast(rcap) lcolor(dkgreen)) nooffsets msize(medsmall) xlabel("") mcolor(dkgreen) title("Figure SA-2.1" "Total Number of Reported Discrimination", size(medlarge)) saving("FigureSA-21")
{res}{txt}(file FigureSA-21.gph saved)

{com}. graph save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-21.gph", replace
{res}{txt}(file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-21.gph saved)

{com}. 
. coefplot (H2ATE, rename(r1vs0.direct_reporting="H2 ATE") \ H2ATET, rename(r1vs0.direct_reporting="H2 ATET")),ylabel(-0.2 (0.2) 1, angle(horizon)) yscale(range (-0.2 (0.2) 1)) vertical yline (0, lcolor(black) lwidth(thin) lpattern(dash)) grid(n) ciopts(recast(rcap) lcolor(dknavy)) nooffsets msize(medsmall) xlabel("") mcolor(dknavy) title("Figure SA-2.2" "Informal Caseload Rate", size(medlarge)) saving ("FigureSA-22")
{res}{txt}(file FigureSA-22.gph saved)

{com}. graph save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-22.gph", replace
{res}{txt}(file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-22.gph saved)

{com}. 
. coefplot (H3aATE, rename(r1vs0.direct_reporting="H3a ATE") \ H3aATET, rename(r1vs0.direct_reporting="H3a ATET")),ylabel(-0.2 (0.2) 1, angle(horizon)) yscale(range (-0.2 (0.2) 1)) vertical yline (0, lcolor(black) lwidth(thin) lpattern(dash)) grid(n) ciopts(recast(rcap) lcolor(dkorange)) nooffsets msize(medsmall) xlabel("") mcolor(dkorange) title("Figure SA-2.3" "Withdrawn Caseload Rate", size(medlarge)) saving ("FigureSA-23")
{res}{txt}(file FigureSA-23.gph saved)

{com}. graph save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-23.gph", replace
{res}{txt}(file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-23.gph saved)

{com}. 
. coefplot (H3bATE, rename(r1vs0.direct_reporting="H3b ATE") \ H3bATET, rename(r1vs0.direct_reporting="H3b ATET")),ylabel(-0.2 (0.2) 1, angle(horizon)) yscale(range (-0.2 (0.2) 1)) bylabel(Internal Caseloads) vertical yline (0, lcolor(black) lwidth(thin) lpattern(dash)) grid(n) ciopts(recast(rcap) lcolor(cranberry)) nooffsets msize(medsmall) xlabel("") mcolor(cranberry) title("Figure SA-2.4" "Settlement Caseload Rate", size(medlarge)) saving("FigureSA-24")
{res}{txt}(file FigureSA-24.gph saved)

{com}. graph save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-24.gph", replace
{res}{txt}(file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-24.gph saved)

{com}. 
. gr combine FigureSA-21.gph FigureSA-22.gph FigureSA-23.gph FigureSA-24.gph, note("Point Estimates and Corresponding 95% Confidence Intervals", j(right) place(seast) size(vsmall))
{res}{txt}
{com}. 
. 
. ****************************************************************************************************************************************************************************
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. 
. 
. 
. 
. 
. **** SUBTREATMENT MODELS BASED ON LATENT ORGANIZATIONAL FAIRNESS OF ADMINISTRATIVE ENVIRONMENT TERCILES [HIGH, MODERATE, & LOW] ****
. 
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
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. 
. 
. 
. 
. 
. 
. *** TESTING H1: EVALUATING THE TOTAL NUMBER OF REPORTED DISCRIMINATION CASES [EVENT COUNT OUTCOME EXPONENTIAL MODEL) ****  
. 
. 
. 
. 
. ****  ESTIMATE ENDOGENOUS TREATMENT EFFECTS MODELS ON AGGREGATE COUNTS OF REPORTED CASES OF DISCRIMINATION ///
> ****  [I.E., # SETTLEMENTS (INFORMAL) + # WITHDRAWN (INFORMAL) + # FORMAL COMPLAINT FILED DISCRIMINATION CASES] ****
. 
. ** NOTE: ALL PRIVATE RESOLUTION CASES OCCUR ONLY AFTER TRADITIONAL COUNSELING OR ALTERNATIVE DISPUTE RESOLUTION COUNSELING HAS BEEN COMPLETED **
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
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. ****************************************************************************************************************************************************************************
. 
. 
. 
. ** HIGH ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON UPPER TERCILE [fairnessgsem >= 0.243207] ** 
. 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (sumintextreport_count fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, exponential) ///
> (direct_reporting lagsumintextreport_count  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. & fairnessgsem >= 0.243207, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 3.337e-15}  
Iteration 1:{space 3}EE criterion = {res: 1.809e-25}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       169
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 90:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}   sumintextreport_count{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                      {txt}{c |}
{space 8}direct_reporting {c |}
{space 15}(1 vs 0)  {c |}{col 26}{res}{space 2} 265.0141{col 38}{space 2} 137.2916{col 49}{space 1}    1.93{col 58}{space 3}0.054{col 66}{space 4}-4.072482{col 79}{space 3} 534.1007
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean                   {txt}{c |}
{space 8}direct_reporting {c |}
{space 22}0  {c |}{col 26}{res}{space 2} 34.76723{col 38}{space 2} 26.96738{col 49}{space 1}    1.29{col 58}{space 3}0.197{col 66}{space 4}-18.08785{col 79}{space 3} 87.62232
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                     {txt}{c |}
lagsumintextreport_count {c |}{col 26}{res}{space 2} .0009287{col 38}{space 2} .0006694{col 49}{space 1}    1.39{col 58}{space 3}0.165{col 66}{space 4}-.0003833{col 79}{space 3} .0022407
{txt}{space 12}fairnessgsem {c |}{col 26}{res}{space 2}-.0567944{col 38}{space 2} .6403217{col 49}{space 1}   -0.09{col 58}{space 3}0.929{col 66}{space 4}-1.311802{col 79}{space 3} 1.198213
{txt}{space 9}ratio_fsup_msup {c |}{col 26}{res}{space 2}-.6953436{col 38}{space 2}  .501017{col 49}{space 1}   -1.39{col 58}{space 3}0.165{col 66}{space 4}-1.677319{col 79}{space 3} .2866318
{txt}{space 4}ratio_minsup_nonmsup {c |}{col 26}{res}{space 2} 1.994424{col 38}{space 2} 1.090881{col 49}{space 1}    1.83{col 58}{space 3}0.068{col 66}{space 4}-.1436631{col 79}{space 3} 4.132511
{txt}{space 4}lntotworkforce_count {c |}{col 26}{res}{space 2} -.174715{col 38}{space 2} .1324623{col 49}{space 1}   -1.32{col 58}{space 3}0.187{col 66}{space 4}-.4343363{col 79}{space 3} .0849063
{txt}{space 15}nonnested {c |}{col 26}{res}{space 2} .9212593{col 38}{space 2} .3550834{col 49}{space 1}    2.59{col 58}{space 3}0.009{col 66}{space 4} .2253087{col 79}{space 3}  1.61721
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} 1.656959{col 38}{space 2} 1.254348{col 49}{space 1}    1.32{col 58}{space 3}0.187{col 66}{space 4}-.8015182{col 79}{space 3} 4.115435
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                     {txt}{c |}
{space 12}fairnessgsem {c |}{col 26}{res}{space 2}-.2546683{col 38}{space 2} .9253751{col 49}{space 1}   -0.28{col 58}{space 3}0.783{col 66}{space 4} -2.06837{col 79}{space 3} 1.559034
{txt}{space 9}ratio_fsup_msup {c |}{col 26}{res}{space 2} .1548859{col 38}{space 2} .7636684{col 49}{space 1}    0.20{col 58}{space 3}0.839{col 66}{space 4}-1.341877{col 79}{space 3} 1.651648
{txt}{space 4}ratio_minsup_nonmsup {c |}{col 26}{res}{space 2} -1.21466{col 38}{space 2}  2.80215{col 49}{space 1}   -0.43{col 58}{space 3}0.665{col 66}{space 4}-6.706773{col 79}{space 3} 4.277453
{txt}{space 4}lntotworkforce_count {c |}{col 26}{res}{space 2}  1.11125{col 38}{space 2} .1455196{col 49}{space 1}    7.64{col 58}{space 3}0.000{col 66}{space 4} .8260364{col 79}{space 3} 1.396463
{txt}{space 7}politicization_lb {c |}{col 26}{res}{space 2}  .468255{col 38}{space 2}   2.8656{col 49}{space 1}    0.16{col 58}{space 3}0.870{col 66}{space 4}-5.148218{col 79}{space 3} 6.084728
{txt}{space 19}_cons {c |}{col 26}{res}{space 2}-7.689018{col 38}{space 2} 1.744453{col 49}{space 1}   -4.41{col 58}{space 3}0.000{col 66}{space 4}-11.10808{col 79}{space 3}-4.269952
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                     {txt}{c |}
{space 12}fairnessgsem {c |}{col 26}{res}{space 2}-.6815887{col 38}{space 2}  .499728{col 49}{space 1}   -1.36{col 58}{space 3}0.173{col 66}{space 4}-1.661038{col 79}{space 3} .2978601
{txt}{space 9}ratio_fsup_msup {c |}{col 26}{res}{space 2} .5876503{col 38}{space 2} .2347877{col 49}{space 1}    2.50{col 58}{space 3}0.012{col 66}{space 4} .1274749{col 79}{space 3} 1.047826
{txt}{space 4}ratio_minsup_nonmsup {c |}{col 26}{res}{space 2} -.796441{col 38}{space 2} .7297688{col 49}{space 1}   -1.09{col 58}{space 3}0.275{col 66}{space 4}-2.226761{col 79}{space 3} .6338796
{txt}{space 4}lntotworkforce_count {c |}{col 26}{res}{space 2} .9612329{col 38}{space 2} .0780976{col 49}{space 1}   12.31{col 58}{space 3}0.000{col 66}{space 4} .8081644{col 79}{space 3} 1.114301
{txt}{space 7}politicization_lb {c |}{col 26}{res}{space 2} 5.514546{col 38}{space 2} 2.501866{col 49}{space 1}    2.20{col 58}{space 3}0.028{col 66}{space 4} .6109788{col 79}{space 3} 10.41811
{txt}{space 19}_cons {c |}{col 26}{res}{space 2}-3.910437{col 38}{space 2} 1.052561{col 49}{space 1}   -3.72{col 58}{space 3}0.000{col 66}{space 4}-5.973419{col 79}{space 3}-1.847456
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                    {txt}{c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-3.018935{col 38}{space 2} 1.957507{col 49}{space 1}   -1.54{col 58}{space 3}0.123{col 66}{space 4}-6.855578{col 79}{space 3} .8177085
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                    {txt}{c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-1.899692{col 38}{space 2} .9370869{col 49}{space 1}   -2.03{col 58}{space 3}0.043{col 66}{space 4}-3.736349{col 79}{space 3}-.0630359
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H_H1ATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    4.20
{txt}{col 10}Prob > chi2 =  {res}  0.1227
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
. eteffects (sumintextreport_count fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, exponential) ///
> (direct_reporting lagsumintextreport_count  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. & fairnessgsem >= 0.243207, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 3.337e-15}  
Iteration 1:{space 3}EE criterion = {res: 1.267e-25}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       169
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 90:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}   sumintextreport_count{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                     {txt}{c |}
{space 8}direct_reporting {c |}
{space 15}(1 vs 0)  {c |}{col 26}{res}{space 2} 181.9301{col 38}{space 2} 69.23831{col 49}{space 1}    2.63{col 58}{space 3}0.009{col 66}{space 4} 46.22554{col 79}{space 3} 317.6347
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean                   {txt}{c |}
{space 8}direct_reporting {c |}
{space 22}0  {c |}{col 26}{res}{space 2} 17.51341{col 38}{space 2} 26.72438{col 49}{space 1}    0.66{col 58}{space 3}0.512{col 66}{space 4}-34.86541{col 79}{space 3} 69.89223
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H_H1ATET
{txt}
{com}. *
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. ** MODERATE ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON INTERTERCILE RANGE [fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207] ***  
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (sumintextreport_count fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, exponential) ///
> (direct_reporting lagsumintextreport_count fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. & fairnessgsem >=    -0.0520733 & fairnessgsem < 0.243207, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 3.887e-19}  
Iteration 1:{space 3}EE criterion = {res: 3.698e-26}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       168
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 90:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}   sumintextreport_count{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                      {txt}{c |}
{space 8}direct_reporting {c |}
{space 15}(1 vs 0)  {c |}{col 26}{res}{space 2} 88.45299{col 38}{space 2} 82.53117{col 49}{space 1}    1.07{col 58}{space 3}0.284{col 66}{space 4}-73.30513{col 79}{space 3} 250.2111
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean                   {txt}{c |}
{space 8}direct_reporting {c |}
{space 22}0  {c |}{col 26}{res}{space 2}  103.331{col 38}{space 2} 34.12709{col 49}{space 1}    3.03{col 58}{space 3}0.002{col 66}{space 4} 36.44311{col 79}{space 3} 170.2189
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                     {txt}{c |}
lagsumintextreport_count {c |}{col 26}{res}{space 2}  .000952{col 38}{space 2} .0004814{col 49}{space 1}    1.98{col 58}{space 3}0.048{col 66}{space 4} 8.53e-06{col 79}{space 3} .0018955
{txt}{space 12}fairnessgsem {c |}{col 26}{res}{space 2} 2.127324{col 38}{space 2} 1.278164{col 49}{space 1}    1.66{col 58}{space 3}0.096{col 66}{space 4}-.3778314{col 79}{space 3}  4.63248
{txt}{space 9}ratio_fsup_msup {c |}{col 26}{res}{space 2}-.3286563{col 38}{space 2} .4257866{col 49}{space 1}   -0.77{col 58}{space 3}0.440{col 66}{space 4}-1.163183{col 79}{space 3} .5058701
{txt}{space 4}ratio_minsup_nonmsup {c |}{col 26}{res}{space 2}-.4934413{col 38}{space 2} .2949642{col 49}{space 1}   -1.67{col 58}{space 3}0.094{col 66}{space 4}-1.071561{col 79}{space 3}  .084678
{txt}{space 4}lntotworkforce_count {c |}{col 26}{res}{space 2}-.1256029{col 38}{space 2} .1242895{col 49}{space 1}   -1.01{col 58}{space 3}0.312{col 66}{space 4}-.3692058{col 79}{space 3} .1180001
{txt}{space 15}nonnested {c |}{col 26}{res}{space 2}  .792853{col 38}{space 2}  .359418{col 49}{space 1}    2.21{col 58}{space 3}0.027{col 66}{space 4} .0884066{col 79}{space 3} 1.497299
{txt}{space 19}_cons {c |}{col 26}{res}{space 2}  1.02567{col 38}{space 2} 1.103915{col 49}{space 1}    0.93{col 58}{space 3}0.353{col 66}{space 4}-1.137965{col 79}{space 3} 3.189304
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                     {txt}{c |}
{space 12}fairnessgsem {c |}{col 26}{res}{space 2}-2.220856{col 38}{space 2} 1.167916{col 49}{space 1}   -1.90{col 58}{space 3}0.057{col 66}{space 4}-4.509929{col 79}{space 3} .0682176
{txt}{space 9}ratio_fsup_msup {c |}{col 26}{res}{space 2}-.0028184{col 38}{space 2} .2795581{col 49}{space 1}   -0.01{col 58}{space 3}0.992{col 66}{space 4}-.5507422{col 79}{space 3} .5451054
{txt}{space 4}ratio_minsup_nonmsup {c |}{col 26}{res}{space 2} .3389198{col 38}{space 2} .1463444{col 49}{space 1}    2.32{col 58}{space 3}0.021{col 66}{space 4}   .05209{col 79}{space 3} .6257497
{txt}{space 4}lntotworkforce_count {c |}{col 26}{res}{space 2} .9398212{col 38}{space 2} .0915357{col 49}{space 1}   10.27{col 58}{space 3}0.000{col 66}{space 4} .7604145{col 79}{space 3} 1.119228
{txt}{space 7}politicization_lb {c |}{col 26}{res}{space 2}-3.183397{col 38}{space 2} 2.067696{col 49}{space 1}   -1.54{col 58}{space 3}0.124{col 66}{space 4}-7.236007{col 79}{space 3} .8692128
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} -4.64017{col 38}{space 2} .9256132{col 49}{space 1}   -5.01{col 58}{space 3}0.000{col 66}{space 4}-6.454339{col 79}{space 3}-2.826002
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                     {txt}{c |}
{space 12}fairnessgsem {c |}{col 26}{res}{space 2}-1.017522{col 38}{space 2} .3063477{col 49}{space 1}   -3.32{col 58}{space 3}0.001{col 66}{space 4}-1.617953{col 79}{space 3}-.4170917
{txt}{space 9}ratio_fsup_msup {c |}{col 26}{res}{space 2}-.3796793{col 38}{space 2} .1714448{col 49}{space 1}   -2.21{col 58}{space 3}0.027{col 66}{space 4}-.7157049{col 79}{space 3}-.0436537
{txt}{space 4}ratio_minsup_nonmsup {c |}{col 26}{res}{space 2} 1.248941{col 38}{space 2} .4035374{col 49}{space 1}    3.09{col 58}{space 3}0.002{col 66}{space 4} .4580225{col 79}{space 3}  2.03986
{txt}{space 4}lntotworkforce_count {c |}{col 26}{res}{space 2}  .922531{col 38}{space 2} .0377441{col 49}{space 1}   24.44{col 58}{space 3}0.000{col 66}{space 4}  .848554{col 79}{space 3} .9965081
{txt}{space 7}politicization_lb {c |}{col 26}{res}{space 2} -1.55968{col 38}{space 2} 4.156624{col 49}{space 1}   -0.38{col 58}{space 3}0.707{col 66}{space 4}-9.706513{col 79}{space 3} 6.587152
{txt}{space 19}_cons {c |}{col 26}{res}{space 2}-4.132607{col 38}{space 2} .4843017{col 49}{space 1}   -8.53{col 58}{space 3}0.000{col 66}{space 4}-5.081821{col 79}{space 3}-3.183393
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                    {txt}{c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-1.496526{col 38}{space 2} .7089821{col 49}{space 1}   -2.11{col 58}{space 3}0.035{col 66}{space 4}-2.886105{col 79}{space 3}-.1069465
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                    {txt}{c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .2064624{col 38}{space 2} .3149753{col 49}{space 1}    0.66{col 58}{space 3}0.512{col 66}{space 4}-.4108778{col 79}{space 3} .8238025
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store M_H1ATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    4.90
{txt}{col 10}Prob > chi2 =  {res}  0.0864
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (sumintextreport_count fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, exponential) ///
> (direct_reporting lagsumintextreport_count fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. & fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 3.887e-19}  
Iteration 1:{space 3}EE criterion = {res: 2.350e-26}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       168
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 90:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}   sumintextreport_count{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                     {txt}{c |}
{space 8}direct_reporting {c |}
{space 15}(1 vs 0)  {c |}{col 26}{res}{space 2} 130.8227{col 38}{space 2}  65.1732{col 49}{space 1}    2.01{col 58}{space 3}0.045{col 66}{space 4} 3.085553{col 79}{space 3} 258.5598
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean                   {txt}{c |}
{space 8}direct_reporting {c |}
{space 22}0  {c |}{col 26}{res}{space 2}  82.1546{col 38}{space 2} 62.23947{col 49}{space 1}    1.32{col 58}{space 3}0.187{col 66}{space 4}-39.83251{col 79}{space 3} 204.1417
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store M_H1ATET
{txt}
{com}. *
.  
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. ** LOW ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON LOWER TERCILE [fairnessgsem < -0.0520733]; OTHERWISE = 0 ** 
. *** NOTE: OVERLAP ASSUMPTION IS VIOLATED REGARDING CROA TREATMENT / NON-CROA TREATMENT ***
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. *eteffects (sumintextreport_count fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, exponential) ///
> *(direct_reporting lagsumintextreport_count fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. & fairnessgsem < -0.0520733, vce(cluster a_id) aequations
. *
. *estat endogenous
. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. *eteffects (sumintextreport_count fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, exponential) ///
> *(direct_reporting lagsumintextreport_count fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. & fairnessgsem < -0.0520733, *vce(cluster a_id) atet
. *
.  
. 
. 
.  
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. *** TESTING H2: EVALUATING THE PROPORTION OF PRIVATE RESOLUTION CASES: TOTAL, SETTLEMENT ONLY, & WITHDRAWN ONLY [FRACTIONAL PROBIT OUTCOME MODEL) ****  
. 
. 
. 
. 
. 
. **** ESTIMATE ENDOGENOUS TREATMENT EFFECTS MODELS ON PROPORTION OF TOTAL PRIVATE RESOLUTION WITHIN AGENCY ///
> **** [I.E., (# SETTLEMENTS + # WITHDRAWN) / (# SETTLEMENTS + # WITHDRAWN + # FORMAL COMPLAINTS FILED) DISCRIMINATION CASES] ****
. 
. ** NOTE: ALL PRIVATE RESOLUTION CASES OCCUR ONLY AFTER TRADITIONAL COUNSELING OR ALTERNATIVE DISPUTE RESOLUTION COUNSELING HAS BEEN COMPLETED **
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. ** HIGH ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON UPPER TERCILE [fairnessgsem >= 0.243207] ** 
. 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (intrep_prop fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, exponential) ///
> (direct_reporting lagintrep_prop   fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. & fairnessgsem >= 0.243207, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.312e-13}  
Iteration 1:{space 3}EE criterion = {res: 5.910e-22}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       167
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         intrep_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .3041322{col 34}{space 2} .1122525{col 45}{space 1}    2.71{col 54}{space 3}0.007{col 62}{space 4} .0841214{col 75}{space 3} .5241429
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .1820706{col 34}{space 2} .0639908{col 45}{space 1}    2.85{col 54}{space 3}0.004{col 62}{space 4} .0566511{col 75}{space 3} .3074902
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 6}lagintrep_prop {c |}{col 22}{res}{space 2} 1.008701{col 34}{space 2} .6335972{col 45}{space 1}    1.59{col 54}{space 3}0.111{col 62}{space 4}-.2331263{col 75}{space 3} 2.250529
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.3666092{col 34}{space 2} .7151945{col 45}{space 1}   -0.51{col 54}{space 3}0.608{col 62}{space 4}-1.768365{col 75}{space 3} 1.035146
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.7658885{col 34}{space 2} .5071277{col 45}{space 1}   -1.51{col 54}{space 3}0.131{col 62}{space 4} -1.75984{col 75}{space 3} .2280635
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} 2.301968{col 34}{space 2} 1.207718{col 45}{space 1}    1.91{col 54}{space 3}0.057{col 62}{space 4}-.0651161{col 75}{space 3} 4.669052
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0198302{col 34}{space 2} .0958251{col 45}{space 1}   -0.21{col 54}{space 3}0.836{col 62}{space 4} -.207644{col 75}{space 3} .1679836
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} .9963289{col 34}{space 2} .3726588{col 45}{space 1}    2.67{col 54}{space 3}0.008{col 62}{space 4}  .265931{col 75}{space 3} 1.726727
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .1047682{col 34}{space 2} 1.100728{col 45}{space 1}    0.10{col 54}{space 3}0.924{col 62}{space 4}-2.052618{col 75}{space 3} 2.262155
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .0185268{col 34}{space 2} .4376385{col 45}{space 1}    0.04{col 54}{space 3}0.966{col 62}{space 4}-.8392288{col 75}{space 3} .8762824
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .6915341{col 34}{space 2} .3440051{col 45}{space 1}    2.01{col 54}{space 3}0.044{col 62}{space 4} .0172966{col 75}{space 3} 1.365772
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-2.205381{col 34}{space 2} 1.106735{col 45}{space 1}   -1.99{col 54}{space 3}0.046{col 62}{space 4}-4.374542{col 75}{space 3}-.0362204
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0563131{col 34}{space 2}  .057154{col 45}{space 1}   -0.99{col 54}{space 3}0.324{col 62}{space 4}-.1683329{col 75}{space 3} .0557066
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2} .0125439{col 34}{space 2} .7446115{col 45}{space 1}    0.02{col 54}{space 3}0.987{col 62}{space 4}-1.446868{col 75}{space 3} 1.471956
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.342522{col 34}{space 2} .9223384{col 45}{space 1}   -1.46{col 54}{space 3}0.146{col 62}{space 4}-3.150272{col 75}{space 3} .4652277
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}  .278499{col 34}{space 2} .2306426{col 45}{space 1}    1.21{col 54}{space 3}0.227{col 62}{space 4}-.1735521{col 75}{space 3} .7305501
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .3115996{col 34}{space 2} .1449626{col 45}{space 1}    2.15{col 54}{space 3}0.032{col 62}{space 4} .0274781{col 75}{space 3} .5957211
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.8112749{col 34}{space 2}  .388203{col 45}{space 1}   -2.09{col 54}{space 3}0.037{col 62}{space 4}-1.572139{col 75}{space 3}-.0504111
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0844847{col 34}{space 2} .0270026{col 45}{space 1}    3.13{col 54}{space 3}0.002{col 62}{space 4} .0315607{col 75}{space 3} .1374088
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2} 3.431981{col 34}{space 2} .7603429{col 45}{space 1}    4.51{col 54}{space 3}0.000{col 62}{space 4} 1.941736{col 75}{space 3} 4.922226
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.643516{col 34}{space 2} .3220052{col 45}{space 1}   -5.10{col 54}{space 3}0.000{col 62}{space 4}-2.274635{col 75}{space 3}-1.012398
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-1.731476{col 34}{space 2} .8643838{col 45}{space 1}   -2.00{col 54}{space 3}0.045{col 62}{space 4}-3.425637{col 75}{space 3}-.0373149
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.5006461{col 34}{space 2} .3972624{col 45}{space 1}   -1.26{col 54}{space 3}0.208{col 62}{space 4}-1.279266{col 75}{space 3} .2779738
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H_H2ATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    4.20
{txt}{col 10}Prob > chi2 =  {res}  0.1222
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
. eteffects (intrep_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, exponential) ///
> (direct_reporting lagintrep_prop   fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. & fairnessgsem >= 0.243207, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.312e-13}  
Iteration 1:{space 3}EE criterion = {res: 5.690e-22}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       167
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         intrep_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2}  .339664{col 34}{space 2}   .09411{col 45}{space 1}    3.61{col 54}{space 3}0.000{col 62}{space 4} .1552117{col 75}{space 3} .5241162
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .0884131{col 34}{space 2} .0740279{col 45}{space 1}    1.19{col 54}{space 3}0.232{col 62}{space 4}-.0566789{col 75}{space 3}  .233505
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H_H2ATET
{txt}
{com}. *
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. ** MODERATE ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON INTERTERCILE RANGE [fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207] ***  
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (intrep_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, exponential) ///
> (direct_reporting lagintrep_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. & fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 2.837e-15}  
Iteration 1:{space 3}EE criterion = {res: 3.168e-26}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       166
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         intrep_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .1000351{col 34}{space 2} .0821906{col 45}{space 1}    1.22{col 54}{space 3}0.224{col 62}{space 4}-.0610554{col 75}{space 3} .2611257
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .2824189{col 34}{space 2} .0547752{col 45}{space 1}    5.16{col 54}{space 3}0.000{col 62}{space 4} .1750615{col 75}{space 3} .3897763
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 6}lagintrep_prop {c |}{col 22}{res}{space 2} .3961429{col 34}{space 2} .8477509{col 45}{space 1}    0.47{col 54}{space 3}0.640{col 62}{space 4}-1.265418{col 75}{space 3} 2.057704
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2} 1.787585{col 34}{space 2} 1.334376{col 45}{space 1}    1.34{col 54}{space 3}0.180{col 62}{space 4}-.8277432{col 75}{space 3} 4.402913
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.3855562{col 34}{space 2} .4219621{col 45}{space 1}   -0.91{col 54}{space 3}0.361{col 62}{space 4}-1.212587{col 75}{space 3} .4414743
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.3891507{col 34}{space 2} .2469872{col 45}{space 1}   -1.58{col 54}{space 3}0.115{col 62}{space 4}-.8732367{col 75}{space 3} .0949353
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}  .049546{col 34}{space 2}   .10297{col 45}{space 1}    0.48{col 54}{space 3}0.630{col 62}{space 4}-.1522714{col 75}{space 3} .2513635
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} .8449757{col 34}{space 2} .3576524{col 45}{space 1}    2.36{col 54}{space 3}0.018{col 62}{space 4} .1439899{col 75}{space 3} 1.545962
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.5056527{col 34}{space 2} 1.050769{col 45}{space 1}   -0.48{col 54}{space 3}0.630{col 62}{space 4}-2.565123{col 75}{space 3} 1.553817
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.8362104{col 34}{space 2} .7955365{col 45}{space 1}   -1.05{col 54}{space 3}0.293{col 62}{space 4}-2.395433{col 75}{space 3} .7230125
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .0410548{col 34}{space 2} .2101376{col 45}{space 1}    0.20{col 54}{space 3}0.845{col 62}{space 4}-.3708074{col 75}{space 3} .4529169
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} .0637302{col 34}{space 2} .0854375{col 45}{space 1}    0.75{col 54}{space 3}0.456{col 62}{space 4}-.1037241{col 75}{space 3} .2311846
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0090542{col 34}{space 2} .0660203{col 45}{space 1}   -0.14{col 54}{space 3}0.891{col 62}{space 4}-.1384516{col 75}{space 3} .1203432
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2}-1.633617{col 34}{space 2} 1.030655{col 45}{space 1}   -1.59{col 54}{space 3}0.113{col 62}{space 4}-3.653665{col 75}{space 3} .3864302
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.278166{col 34}{space 2} .5441865{col 45}{space 1}   -2.35{col 54}{space 3}0.019{col 62}{space 4}-2.344752{col 75}{space 3}-.2115799
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} -.010753{col 34}{space 2} .5147384{col 45}{space 1}   -0.02{col 54}{space 3}0.983{col 62}{space 4}-1.019622{col 75}{space 3} .9981158
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.1380905{col 34}{space 2} .1124069{col 45}{space 1}   -1.23{col 54}{space 3}0.219{col 62}{space 4}-.3584039{col 75}{space 3}  .082223
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.3003646{col 34}{space 2} .1904797{col 45}{space 1}   -1.58{col 54}{space 3}0.115{col 62}{space 4}-.6736979{col 75}{space 3} .0729687
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0087332{col 34}{space 2}   .02961{col 45}{space 1}    0.29{col 54}{space 3}0.768{col 62}{space 4}-.0493013{col 75}{space 3} .0667677
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2} 2.413089{col 34}{space 2} 1.315162{col 45}{space 1}    1.83{col 54}{space 3}0.067{col 62}{space 4}-.1645812{col 75}{space 3} 4.990759
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.8850382{col 34}{space 2} .3805776{col 45}{space 1}   -2.33{col 54}{space 3}0.020{col 62}{space 4}-1.630957{col 75}{space 3}-.1391197
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-1.196859{col 34}{space 2} .6815978{col 45}{space 1}   -1.76{col 54}{space 3}0.079{col 62}{space 4}-2.532766{col 75}{space 3} .1390481
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2} .2851007{col 34}{space 2} .3828303{col 45}{space 1}    0.74{col 54}{space 3}0.456{col 62}{space 4}-.4652329{col 75}{space 3} 1.035434
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store M_H2ATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    3.50
{txt}{col 10}Prob > chi2 =  {res}  0.1741
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (intrep_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, exponential) ///
> (direct_reporting lagintrep_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. & fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 2.837e-15}  
Iteration 1:{space 3}EE criterion = {res: 2.931e-26}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       166
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         intrep_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .2829577{col 34}{space 2} .1025524{col 45}{space 1}    2.76{col 54}{space 3}0.006{col 62}{space 4} .0819586{col 75}{space 3} .4839567
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .1464028{col 34}{space 2} .0979476{col 45}{space 1}    1.49{col 54}{space 3}0.135{col 62}{space 4} -.045571{col 75}{space 3} .3383766
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store M_H2ATET
{txt}
{com}. *
.  
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. ** LOW ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON LOWER TERCILE [fairnessgsem < -0.0520733]; OTHERWISE = 0 ** 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (intrep_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, exponential) ///
> (direct_reporting lagintrep_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. & fairnessgsem < -0.0520733, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.025e-15}  
Iteration 1:{space 3}EE criterion = {res: 9.842e-26}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       168
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:132} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         intrep_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .4379091{col 34}{space 2}  .224888{col 45}{space 1}    1.95{col 54}{space 3}0.052{col 62}{space 4}-.0028633{col 75}{space 3} .8786815
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .2887016{col 34}{space 2} .0544843{col 45}{space 1}    5.30{col 54}{space 3}0.000{col 62}{space 4} .1819144{col 75}{space 3} .3954889
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 6}lagintrep_prop {c |}{col 22}{res}{space 2} 1.993591{col 34}{space 2} .7532867{col 45}{space 1}    2.65{col 54}{space 3}0.008{col 62}{space 4}  .517176{col 75}{space 3} 3.470006
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-1.074836{col 34}{space 2} .8340071{col 45}{space 1}   -1.29{col 54}{space 3}0.197{col 62}{space 4} -2.70946{col 75}{space 3}  .559788
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.6085199{col 34}{space 2} .4237875{col 45}{space 1}   -1.44{col 54}{space 3}0.151{col 62}{space 4}-1.439128{col 75}{space 3} .2220882
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} -.014786{col 34}{space 2}  .130528{col 45}{space 1}   -0.11{col 54}{space 3}0.910{col 62}{space 4}-.2706161{col 75}{space 3} .2410441
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .1062791{col 34}{space 2} .1060668{col 45}{space 1}    1.00{col 54}{space 3}0.316{col 62}{space 4} -.101608{col 75}{space 3} .3141663
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} .5488171{col 34}{space 2} .3910598{col 45}{space 1}    1.40{col 54}{space 3}0.160{col 62}{space 4} -.217646{col 75}{space 3}  1.31528
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.659985{col 34}{space 2} 1.132483{col 45}{space 1}   -1.47{col 54}{space 3}0.143{col 62}{space 4}-3.879612{col 75}{space 3} .5596421
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}   .86225{col 34}{space 2} .4405042{col 45}{space 1}    1.96{col 54}{space 3}0.050{col 62}{space 4}-.0011224{col 75}{space 3} 1.725622
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .1533964{col 34}{space 2} .2164016{col 45}{space 1}    0.71{col 54}{space 3}0.478{col 62}{space 4} -.270743{col 75}{space 3} .5775358
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} .0569851{col 34}{space 2} .0525784{col 45}{space 1}    1.08{col 54}{space 3}0.278{col 62}{space 4}-.0460666{col 75}{space 3} .1600368
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} -.013283{col 34}{space 2}  .055666{col 45}{space 1}   -0.24{col 54}{space 3}0.811{col 62}{space 4}-.1223863{col 75}{space 3} .0958202
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2}-.3867827{col 34}{space 2} .9173113{col 45}{space 1}   -0.42{col 54}{space 3}0.673{col 62}{space 4} -2.18468{col 75}{space 3} 1.411114
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.131934{col 34}{space 2} .5524056{col 45}{space 1}   -2.05{col 54}{space 3}0.040{col 62}{space 4}-2.214629{col 75}{space 3}-.0492388
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}  .317606{col 34}{space 2} .3570016{col 45}{space 1}    0.89{col 54}{space 3}0.374{col 62}{space 4}-.3821042{col 75}{space 3} 1.017316
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}  .270999{col 34}{space 2} .2017901{col 45}{space 1}    1.34{col 54}{space 3}0.179{col 62}{space 4}-.1245024{col 75}{space 3} .6665004
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.0309227{col 34}{space 2} .0403671{col 45}{space 1}   -0.77{col 54}{space 3}0.444{col 62}{space 4}-.1100407{col 75}{space 3} .0481952
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0074399{col 34}{space 2} .0496149{col 45}{space 1}   -0.15{col 54}{space 3}0.881{col 62}{space 4}-.1046834{col 75}{space 3} .0898035
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2}-1.135933{col 34}{space 2} 1.367205{col 45}{space 1}   -0.83{col 54}{space 3}0.406{col 62}{space 4}-3.815606{col 75}{space 3}  1.54374
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.4056313{col 34}{space 2} .5648712{col 45}{space 1}   -0.72{col 54}{space 3}0.473{col 62}{space 4}-1.512759{col 75}{space 3} .7014959
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.7343144{col 34}{space 2} .5094117{col 45}{space 1}   -1.44{col 54}{space 3}0.149{col 62}{space 4}-1.732743{col 75}{space 3} .2641141
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.8853171{col 34}{space 2} .4183863{col 45}{space 1}   -2.12{col 54}{space 3}0.034{col 62}{space 4}-1.705339{col 75}{space 3}-.0652951
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store L_H2ATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    5.45
{txt}{col 10}Prob > chi2 =  {res}  0.0656
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (intrep_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, exponential) ///
> (direct_reporting lagintrep_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. & fairnessgsem < -0.0520733, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.025e-15}  
Iteration 1:{space 3}EE criterion = {res: 4.923e-26}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       168
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:132} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         intrep_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .2548095{col 34}{space 2}  .104826{col 45}{space 1}    2.43{col 54}{space 3}0.015{col 62}{space 4} .0493544{col 75}{space 3} .4602647
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .1939549{col 34}{space 2} .0963772{col 45}{space 1}    2.01{col 54}{space 3}0.044{col 62}{space 4} .0050591{col 75}{space 3} .3828506
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store L_H2ATET
{txt}
{com}. *
.  
. 
.  
. 
. 
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. **** TESTING H3.A:  ESTIMATE ENDOGENOUS TREATMENT EFFECTS MODELS ON PROPORTION OF WITHDRAWN PRIVATE RESOLUTIONS WITHIN AGENCY  ****
. **** [I.E., (# WITHDRAWN) / (# SETTLEMENTS + # WITHDRAWN + # FORMAL COMPLAINTS FILED) DISCRIMINATION CASES] ****
. 
. 
. ** NOTE: ALL PRIVATE RESOLUTION CASES OCCUR ONLY AFTER TRADITIONAL COUNSELING OR ALTERNATIVE DISPUTE RESOLUTION COUNSELING HAS BEEN COMPLETED **
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. ** HIGH ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON UPPER TERCILE [fairnessgsem >= 0.243207] ** 
. 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (withdraw_prop fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, exponential) ///
> (direct_reporting lagwithdraw_prop   fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. & fairnessgsem >= 0.243207, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 6.229e-17}  
Iteration 1:{space 3}EE criterion = {res: 2.513e-31}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       167
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       withdraw_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2}   .30549{col 34}{space 2} .1038906{col 45}{space 1}    2.94{col 54}{space 3}0.003{col 62}{space 4} .1018683{col 75}{space 3} .5091118
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .1039883{col 34}{space 2} .0324819{col 45}{space 1}    3.20{col 54}{space 3}0.001{col 62}{space 4}  .040325{col 75}{space 3} .1676517
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 4}lagwithdraw_prop {c |}{col 22}{res}{space 2} .4984386{col 34}{space 2} .5566219{col 45}{space 1}    0.90{col 54}{space 3}0.371{col 62}{space 4}-.5925202{col 75}{space 3} 1.589397
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.2582003{col 34}{space 2} .6819086{col 45}{space 1}   -0.38{col 54}{space 3}0.705{col 62}{space 4}-1.594717{col 75}{space 3} 1.078316
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.6822269{col 34}{space 2} .4901638{col 45}{space 1}   -1.39{col 54}{space 3}0.164{col 62}{space 4} -1.64293{col 75}{space 3} .2784765
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}  2.04522{col 34}{space 2} 1.124807{col 45}{space 1}    1.82{col 54}{space 3}0.069{col 62}{space 4}-.1593618{col 75}{space 3} 4.249801
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0048456{col 34}{space 2} .0989158{col 45}{space 1}   -0.05{col 54}{space 3}0.961{col 62}{space 4}-.1987169{col 75}{space 3} .1890258
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} 1.016617{col 34}{space 2} .3721777{col 45}{space 1}    2.73{col 54}{space 3}0.006{col 62}{space 4} .2871618{col 75}{space 3} 1.746071
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .2038044{col 34}{space 2} 1.103202{col 45}{space 1}    0.18{col 54}{space 3}0.853{col 62}{space 4}-1.958431{col 75}{space 3}  2.36604
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .0103731{col 34}{space 2}  .708583{col 45}{space 1}    0.01{col 54}{space 3}0.988{col 62}{space 4}-1.378424{col 75}{space 3}  1.39917
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .8531818{col 34}{space 2}  .532153{col 45}{space 1}    1.60{col 54}{space 3}0.109{col 62}{space 4}-.1898189{col 75}{space 3} 1.896182
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-3.245198{col 34}{space 2} 1.712533{col 45}{space 1}   -1.89{col 54}{space 3}0.058{col 62}{space 4}-6.601701{col 75}{space 3} .1113054
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0695886{col 34}{space 2} .1045327{col 45}{space 1}   -0.67{col 54}{space 3}0.506{col 62}{space 4}-.2744689{col 75}{space 3} .1352917
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2}-1.207224{col 34}{space 2} .9084203{col 45}{space 1}   -1.33{col 54}{space 3}0.184{col 62}{space 4}-2.987695{col 75}{space 3} .5732469
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-2.175291{col 34}{space 2} 1.624827{col 45}{space 1}   -1.34{col 54}{space 3}0.181{col 62}{space 4}-5.359894{col 75}{space 3} 1.009312
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .0850733{col 34}{space 2}  .370802{col 45}{space 1}    0.23{col 54}{space 3}0.819{col 62}{space 4}-.6416854{col 75}{space 3}  .811832
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .3025978{col 34}{space 2} .2246612{col 45}{space 1}    1.35{col 54}{space 3}0.178{col 62}{space 4}-.1377301{col 75}{space 3} .7429256
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.7538316{col 34}{space 2} .5990554{col 45}{space 1}   -1.26{col 54}{space 3}0.208{col 62}{space 4}-1.927959{col 75}{space 3} .4202954
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0566763{col 34}{space 2} .0352582{col 45}{space 1}    1.61{col 54}{space 3}0.108{col 62}{space 4}-.0124286{col 75}{space 3} .1257811
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2} 3.032306{col 34}{space 2} .9066131{col 45}{space 1}    3.34{col 54}{space 3}0.001{col 62}{space 4} 1.255377{col 75}{space 3} 4.809235
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.511264{col 34}{space 2} .3880301{col 45}{space 1}   -3.89{col 54}{space 3}0.000{col 62}{space 4}-2.271789{col 75}{space 3}-.7507386
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-3.049174{col 34}{space 2} 1.365873{col 45}{space 1}   -2.23{col 54}{space 3}0.026{col 62}{space 4}-5.726237{col 75}{space 3}-.3721117
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.7209664{col 34}{space 2} .5100592{col 45}{space 1}   -1.41{col 54}{space 3}0.158{col 62}{space 4}-1.720664{col 75}{space 3} .2787314
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H_H3aATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    5.36
{txt}{col 10}Prob > chi2 =  {res}  0.0687
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
. eteffects (withdraw_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, exponential) ///
> (direct_reporting lagwithdraw_prop   fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. & fairnessgsem >= 0.243207, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 6.229e-17}  
Iteration 1:{space 3}EE criterion = {res: 1.687e-31}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       167
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       withdraw_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .3139988{col 34}{space 2} .0506995{col 45}{space 1}    6.19{col 54}{space 3}0.000{col 62}{space 4} .2146296{col 75}{space 3} .4133679
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2}  .020357{col 34}{space 2} .0275799{col 45}{space 1}    0.74{col 54}{space 3}0.460{col 62}{space 4}-.0336986{col 75}{space 3} .0744125
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H_H3aATET
{txt}
{com}. *
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. ** MODERATE ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON INTERTERCILE RANGE [fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207] ***  
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (withdraw_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, exponential) ///
> (direct_reporting lagwithdraw_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. & fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.542e-16}  
Iteration 1:{space 3}EE criterion = {res: 9.935e-30}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       166
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       withdraw_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .1155151{col 34}{space 2} .0896327{col 45}{space 1}    1.29{col 54}{space 3}0.197{col 62}{space 4}-.0601618{col 75}{space 3} .2911921
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .2490771{col 34}{space 2} .0443535{col 45}{space 1}    5.62{col 54}{space 3}0.000{col 62}{space 4} .1621458{col 75}{space 3} .3360083
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 4}lagwithdraw_prop {c |}{col 22}{res}{space 2} 1.295579{col 34}{space 2} .8725597{col 45}{space 1}    1.48{col 54}{space 3}0.138{col 62}{space 4}-.4146067{col 75}{space 3} 3.005765
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2} 1.806755{col 34}{space 2} 1.338177{col 45}{space 1}    1.35{col 54}{space 3}0.177{col 62}{space 4}-.8160235{col 75}{space 3} 4.429533
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.4035184{col 34}{space 2} .4221592{col 45}{space 1}   -0.96{col 54}{space 3}0.339{col 62}{space 4}-1.230935{col 75}{space 3} .4238984
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.4073825{col 34}{space 2} .2515007{col 45}{space 1}   -1.62{col 54}{space 3}0.105{col 62}{space 4}-.9003148{col 75}{space 3} .0855498
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0334311{col 34}{space 2} .1040971{col 45}{space 1}    0.32{col 54}{space 3}0.748{col 62}{space 4}-.1705954{col 75}{space 3} .2374576
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} .8344722{col 34}{space 2}  .359543{col 45}{space 1}    2.32{col 54}{space 3}0.020{col 62}{space 4} .1297809{col 75}{space 3} 1.539163
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} -.600481{col 34}{space 2} 1.024004{col 45}{space 1}   -0.59{col 54}{space 3}0.558{col 62}{space 4}-2.607491{col 75}{space 3} 1.406529
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.9310445{col 34}{space 2}  .603066{col 45}{space 1}   -1.54{col 54}{space 3}0.123{col 62}{space 4}-2.113032{col 75}{space 3} .2509432
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} -.084414{col 34}{space 2} .1340792{col 45}{space 1}   -0.63{col 54}{space 3}0.529{col 62}{space 4}-.3472044{col 75}{space 3} .1783764
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} .1129294{col 34}{space 2} .0445054{col 45}{space 1}    2.54{col 54}{space 3}0.011{col 62}{space 4} .0257005{col 75}{space 3} .2001583
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0972561{col 34}{space 2} .0681536{col 45}{space 1}    1.43{col 54}{space 3}0.154{col 62}{space 4}-.0363225{col 75}{space 3} .2308347
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2}-.8769667{col 34}{space 2} .8559554{col 45}{space 1}   -1.02{col 54}{space 3}0.306{col 62}{space 4}-2.554608{col 75}{space 3}  .800675
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} -2.17556{col 34}{space 2} .5313128{col 45}{space 1}   -4.09{col 54}{space 3}0.000{col 62}{space 4}-3.216914{col 75}{space 3}-1.134206
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.0163399{col 34}{space 2} .6023242{col 45}{space 1}   -0.03{col 54}{space 3}0.978{col 62}{space 4}-1.196874{col 75}{space 3} 1.164194
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.0503347{col 34}{space 2} .1395475{col 45}{space 1}   -0.36{col 54}{space 3}0.718{col 62}{space 4}-.3238427{col 75}{space 3} .2231734
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.1403783{col 34}{space 2} .2465738{col 45}{space 1}   -0.57{col 54}{space 3}0.569{col 62}{space 4}-.6236541{col 75}{space 3} .3428976
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0029099{col 34}{space 2}  .033643{col 45}{space 1}   -0.09{col 54}{space 3}0.931{col 62}{space 4}-.0688489{col 75}{space 3} .0630292
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2} 2.791812{col 34}{space 2} 1.508817{col 45}{space 1}    1.85{col 54}{space 3}0.064{col 62}{space 4}-.1654162{col 75}{space 3}  5.74904
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.9634671{col 34}{space 2} .4047581{col 45}{space 1}   -2.38{col 54}{space 3}0.017{col 62}{space 4}-1.756778{col 75}{space 3}-.1701558
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.6009323{col 34}{space 2} .5016062{col 45}{space 1}   -1.20{col 54}{space 3}0.231{col 62}{space 4}-1.584062{col 75}{space 3} .3821978
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.0423499{col 34}{space 2} .5077447{col 45}{space 1}   -0.08{col 54}{space 3}0.934{col 62}{space 4}-1.037511{col 75}{space 3} .9528115
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store M_H3aATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    1.55
{txt}{col 10}Prob > chi2 =  {res}  0.4605
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (withdraw_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, exponential) ///
> (direct_reporting lagwithdraw_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. & fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.542e-16}  
Iteration 1:{space 3}EE criterion = {res: 7.864e-30}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       166
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       withdraw_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2}  .167414{col 34}{space 2}  .086817{col 45}{space 1}    1.93{col 54}{space 3}0.054{col 62}{space 4}-.0027441{col 75}{space 3} .3375722
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .1862243{col 34}{space 2} .0847869{col 45}{space 1}    2.20{col 54}{space 3}0.028{col 62}{space 4} .0200451{col 75}{space 3} .3524036
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store M_H3aATET
{txt}
{com}. *
.  
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. ** LOW ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON LOWER TERCILE [fairnessgsem < -0.0520733]; OTHERWISE = 0 ** 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (withdraw_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, exponential) ///
> (direct_reporting lagwithdraw_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. & fairnessgsem < -0.0520733, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.149e-13}  
Iteration 1:{space 3}EE criterion = {res: 4.099e-24}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       168
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:132} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       withdraw_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2}  .461843{col 34}{space 2} .4539332{col 45}{space 1}    1.02{col 54}{space 3}0.309{col 62}{space 4}-.4278498{col 75}{space 3} 1.351536
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .1975568{col 34}{space 2} .0498841{col 45}{space 1}    3.96{col 54}{space 3}0.000{col 62}{space 4} .0997858{col 75}{space 3} .2953279
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 4}lagwithdraw_prop {c |}{col 22}{res}{space 2} 1.027683{col 34}{space 2} .7843397{col 45}{space 1}    1.31{col 54}{space 3}0.190{col 62}{space 4}-.5095945{col 75}{space 3}  2.56496
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.9201018{col 34}{space 2} .8201599{col 45}{space 1}   -1.12{col 54}{space 3}0.262{col 62}{space 4}-2.527586{col 75}{space 3} .6873821
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.5918304{col 34}{space 2} .4177229{col 45}{space 1}   -1.42{col 54}{space 3}0.157{col 62}{space 4}-1.410552{col 75}{space 3} .2268915
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.0151262{col 34}{space 2} .1309969{col 45}{space 1}   -0.12{col 54}{space 3}0.908{col 62}{space 4}-.2718755{col 75}{space 3}  .241623
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}  .102957{col 34}{space 2} .1099655{col 45}{space 1}    0.94{col 54}{space 3}0.349{col 62}{space 4}-.1125715{col 75}{space 3} .3184855
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} .6105599{col 34}{space 2} .4049192{col 45}{space 1}    1.51{col 54}{space 3}0.132{col 62}{space 4}-.1830671{col 75}{space 3} 1.404187
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.114906{col 34}{space 2} 1.113937{col 45}{space 1}   -1.00{col 54}{space 3}0.317{col 62}{space 4}-3.298183{col 75}{space 3}  1.06837
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .8104651{col 34}{space 2}  .517768{col 45}{space 1}    1.57{col 54}{space 3}0.118{col 62}{space 4}-.2043415{col 75}{space 3} 1.825272
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .3294521{col 34}{space 2} .3239769{col 45}{space 1}    1.02{col 54}{space 3}0.309{col 62}{space 4} -.305531{col 75}{space 3} .9644352
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} .0602901{col 34}{space 2} .0653728{col 45}{space 1}    0.92{col 54}{space 3}0.356{col 62}{space 4}-.0678381{col 75}{space 3} .1884184
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0780343{col 34}{space 2} .0521963{col 45}{space 1}    1.50{col 54}{space 3}0.135{col 62}{space 4}-.0242687{col 75}{space 3} .1803372
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2}-.8279426{col 34}{space 2} 1.179485{col 45}{space 1}   -0.70{col 54}{space 3}0.483{col 62}{space 4}-3.139691{col 75}{space 3} 1.483806
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-2.462655{col 34}{space 2} .6532791{col 45}{space 1}   -3.77{col 54}{space 3}0.000{col 62}{space 4}-3.743059{col 75}{space 3}-1.182251
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .1984729{col 34}{space 2}  .536596{col 45}{space 1}    0.37{col 54}{space 3}0.711{col 62}{space 4} -.853236{col 75}{space 3} 1.250182
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .2668258{col 34}{space 2} .2845755{col 45}{space 1}    0.94{col 54}{space 3}0.348{col 62}{space 4} -.290932{col 75}{space 3} .8245835
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.0301661{col 34}{space 2} .0532411{col 45}{space 1}   -0.57{col 54}{space 3}0.571{col 62}{space 4}-.1345167{col 75}{space 3} .0741845
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0160316{col 34}{space 2} .0630722{col 45}{space 1}    0.25{col 54}{space 3}0.799{col 62}{space 4}-.1075877{col 75}{space 3} .1396508
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2}-.5816774{col 34}{space 2} 1.737875{col 45}{space 1}   -0.33{col 54}{space 3}0.738{col 62}{space 4} -3.98785{col 75}{space 3} 2.824496
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.7796208{col 34}{space 2} .8691638{col 45}{space 1}   -0.90{col 54}{space 3}0.370{col 62}{space 4} -2.48315{col 75}{space 3} .9239089
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.9265598{col 34}{space 2} .7209667{col 45}{space 1}   -1.29{col 54}{space 3}0.199{col 62}{space 4}-2.339629{col 75}{space 3}  .486509
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-1.048482{col 34}{space 2} .9070121{col 45}{space 1}   -1.16{col 54}{space 3}0.248{col 62}{space 4}-2.826194{col 75}{space 3} .7292287
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store L_H3aATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    1.94
{txt}{col 10}Prob > chi2 =  {res}  0.3782
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (withdraw_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, exponential) ///
> (direct_reporting lagwithdraw_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. & fairnessgsem < -0.0520733, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.149e-13}  
Iteration 1:{space 3}EE criterion = {res: 3.438e-24}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       168
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:132} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       withdraw_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .2463052{col 34}{space 2} .0972962{col 45}{space 1}    2.53{col 54}{space 3}0.011{col 62}{space 4} .0556081{col 75}{space 3} .4370022
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .1175879{col 34}{space 2} .0858606{col 45}{space 1}    1.37{col 54}{space 3}0.171{col 62}{space 4}-.0506957{col 75}{space 3} .2858716
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store L_H3aATET
{txt}
{com}. *
.  
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. **** TESTING H3.B: ESTIMATE ENDOGENOUS TREATMENT EFFECTS MODELS ON PROPORTION OF SETTLEMENT PRIVATE RESOLUTIONS WITHIN AGENCY  ****
. **** [I.E., (# SETTLEMENTS) / (# SETTLEMENTS + # WITHDRAWN + # FORMAL COMPLAINTS FILED) DISCRIMINATION CASES] ****
. 
. 
. ** NOTE: ALL PRIVATE RESOLUTION CASES OCCUR ONLY AFTER TRADITIONAL COUNSELING OR ALTERNATIVE DISPUTE RESOLUTION COUNSELING HAS BEEN COMPLETED **
. 
. 
. 
. ** HIGH ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON UPPER TERCILE [fairnessgsem >= 0.243207] ** 
. 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (settle_prop fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, exponential) ///
> (direct_reporting lagsettle_prop   fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. & fairnessgsem >= 0.243207, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 3.002e-15}  
Iteration 1:{space 3}EE criterion = {res: 2.395e-23}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       167
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         settle_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2}-.1354323{col 34}{space 2} .7549729{col 45}{space 1}   -0.18{col 54}{space 3}0.858{col 62}{space 4}-1.615152{col 75}{space 3} 1.344287
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .2321477{col 34}{space 2} .7402721{col 45}{space 1}    0.31{col 54}{space 3}0.754{col 62}{space 4}-1.218759{col 75}{space 3} 1.683054
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 6}lagsettle_prop {c |}{col 22}{res}{space 2} 1.632892{col 34}{space 2}  1.44878{col 45}{space 1}    1.13{col 54}{space 3}0.260{col 62}{space 4}-1.206664{col 75}{space 3} 4.472449
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.3299247{col 34}{space 2} .6875534{col 45}{space 1}   -0.48{col 54}{space 3}0.631{col 62}{space 4}-1.677505{col 75}{space 3} 1.017655
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.7546532{col 34}{space 2} .5228123{col 45}{space 1}   -1.44{col 54}{space 3}0.149{col 62}{space 4}-1.779346{col 75}{space 3} .2700401
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} 2.243368{col 34}{space 2} 1.164044{col 45}{space 1}    1.93{col 54}{space 3}0.054{col 62}{space 4} -.038116{col 75}{space 3} 4.524852
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0281693{col 34}{space 2} .0986392{col 45}{space 1}   -0.29{col 54}{space 3}0.775{col 62}{space 4}-.2214987{col 75}{space 3}   .16516
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} 1.113614{col 34}{space 2} .3930986{col 45}{space 1}    2.83{col 54}{space 3}0.005{col 62}{space 4} .3431547{col 75}{space 3} 1.884073
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}  .407801{col 34}{space 2} 1.078749{col 45}{space 1}    0.38{col 54}{space 3}0.705{col 62}{space 4}-1.706509{col 75}{space 3} 2.522111
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .1900653{col 34}{space 2} 1.020476{col 45}{space 1}    0.19{col 54}{space 3}0.852{col 62}{space 4}-1.810031{col 75}{space 3} 2.190162
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .8175342{col 34}{space 2} .6050862{col 45}{space 1}    1.35{col 54}{space 3}0.177{col 62}{space 4}-.3684131{col 75}{space 3} 2.003481
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-1.511925{col 34}{space 2} 3.571629{col 45}{space 1}   -0.42{col 54}{space 3}0.672{col 62}{space 4}-8.512189{col 75}{space 3}  5.48834
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .1144271{col 34}{space 2} .2221832{col 45}{space 1}    0.52{col 54}{space 3}0.607{col 62}{space 4} -.321044{col 75}{space 3} .5498981
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2} 2.605694{col 34}{space 2} 2.096736{col 45}{space 1}    1.24{col 54}{space 3}0.214{col 62}{space 4}-1.503834{col 75}{space 3} 6.715221
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-2.809898{col 34}{space 2} 3.513082{col 45}{space 1}   -0.80{col 54}{space 3}0.424{col 62}{space 4}-9.695413{col 75}{space 3} 4.075616
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .9594575{col 34}{space 2} .6585826{col 45}{space 1}    1.46{col 54}{space 3}0.145{col 62}{space 4}-.3313408{col 75}{space 3} 2.250256
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .3746843{col 34}{space 2} .4603436{col 45}{space 1}    0.81{col 54}{space 3}0.416{col 62}{space 4}-.5275726{col 75}{space 3} 1.276941
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-1.239218{col 34}{space 2} 1.002455{col 45}{space 1}   -1.24{col 54}{space 3}0.216{col 62}{space 4}-3.203995{col 75}{space 3}  .725558
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .1937801{col 34}{space 2} .0628347{col 45}{space 1}    3.08{col 54}{space 3}0.002{col 62}{space 4} .0706262{col 75}{space 3} .3169339
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2} 4.711409{col 34}{space 2} 2.751014{col 45}{space 1}    1.71{col 54}{space 3}0.087{col 62}{space 4}-.6804787{col 75}{space 3}  10.1033
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-4.456791{col 34}{space 2}  .837611{col 45}{space 1}   -5.32{col 54}{space 3}0.000{col 62}{space 4}-6.098478{col 75}{space 3}-2.815103
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2} 1.170189{col 34}{space 2} 3.758609{col 45}{space 1}    0.31{col 54}{space 3}0.756{col 62}{space 4}-6.196549{col 75}{space 3} 8.536926
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.1726052{col 34}{space 2} 1.072122{col 45}{space 1}   -0.16{col 54}{space 3}0.872{col 62}{space 4}-2.273925{col 75}{space 3} 1.928714
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H_H3bATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    0.20
{txt}{col 10}Prob > chi2 =  {res}  0.9039
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
. eteffects (settle_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, exponential) ///
> (direct_reporting lagsettle_prop   fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. & fairnessgsem >= 0.243207, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 3.002e-15}  
Iteration 1:{space 3}EE criterion = {res: 2.391e-23}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       167
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         settle_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2}-.1852317{col 34}{space 2} 1.011199{col 45}{space 1}   -0.18{col 54}{space 3}0.855{col 62}{space 4}-2.167146{col 75}{space 3} 1.796683
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .2789456{col 34}{space 2} 1.005586{col 45}{space 1}    0.28{col 54}{space 3}0.781{col 62}{space 4}-1.691968{col 75}{space 3} 2.249859
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H_H3bATET
{txt}
{com}. *
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. ** MODERATE ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON INTERTERCILE RANGE [fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207] ***  
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (settle_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, exponential) ///
> (direct_reporting lagsettle_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. & fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 3.485e-12}  
Iteration 1:{space 3}EE criterion = {res: 1.535e-18}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       166
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         settle_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2}-1.060281{col 34}{space 2} 2.827471{col 45}{space 1}   -0.37{col 54}{space 3}0.708{col 62}{space 4}-6.602023{col 75}{space 3}  4.48146
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2}  1.10747{col 34}{space 2} 2.818979{col 45}{space 1}    0.39{col 54}{space 3}0.694{col 62}{space 4}-4.417628{col 75}{space 3} 6.632568
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 6}lagsettle_prop {c |}{col 22}{res}{space 2}-1.871275{col 34}{space 2} 1.371073{col 45}{space 1}   -1.36{col 54}{space 3}0.172{col 62}{space 4}-4.558528{col 75}{space 3} .8159782
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2} 1.786156{col 34}{space 2}  1.38097{col 45}{space 1}    1.29{col 54}{space 3}0.196{col 62}{space 4}-.9204964{col 75}{space 3} 4.492809
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.4183227{col 34}{space 2} .4188352{col 45}{space 1}   -1.00{col 54}{space 3}0.318{col 62}{space 4}-1.239225{col 75}{space 3} .4025792
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.4107013{col 34}{space 2}  .261345{col 45}{space 1}   -1.57{col 54}{space 3}0.116{col 62}{space 4}-.9229281{col 75}{space 3} .1015255
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0569298{col 34}{space 2} .1028602{col 45}{space 1}    0.55{col 54}{space 3}0.580{col 62}{space 4}-.1446724{col 75}{space 3} .2585321
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} .8315771{col 34}{space 2} .3585115{col 45}{space 1}    2.32{col 54}{space 3}0.020{col 62}{space 4} .1289075{col 75}{space 3} 1.534247
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.2065151{col 34}{space 2} 1.022272{col 45}{space 1}   -0.20{col 54}{space 3}0.840{col 62}{space 4}-2.210131{col 75}{space 3} 1.797101
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} 3.309443{col 34}{space 2} 3.110388{col 45}{space 1}    1.06{col 54}{space 3}0.287{col 62}{space 4}-2.786806{col 75}{space 3} 9.405692
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.2807711{col 34}{space 2} .6200319{col 45}{space 1}   -0.45{col 54}{space 3}0.651{col 62}{space 4}-1.496011{col 75}{space 3} .9344691
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.4540115{col 34}{space 2}  .246932{col 45}{space 1}   -1.84{col 54}{space 3}0.066{col 62}{space 4}-.9379893{col 75}{space 3} .0299664
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} -.165531{col 34}{space 2} .1828055{col 45}{space 1}   -0.91{col 54}{space 3}0.365{col 62}{space 4}-.5238232{col 75}{space 3} .1927611
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2} .0247879{col 34}{space 2} 1.651497{col 45}{space 1}    0.02{col 54}{space 3}0.988{col 62}{space 4}-3.212088{col 75}{space 3} 3.261663
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .7420017{col 34}{space 2} 1.568247{col 45}{space 1}    0.47{col 54}{space 3}0.636{col 62}{space 4}-2.331706{col 75}{space 3} 3.815709
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.0388364{col 34}{space 2} 1.679829{col 45}{space 1}   -0.02{col 54}{space 3}0.982{col 62}{space 4} -3.33124{col 75}{space 3} 3.253568
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.4488579{col 34}{space 2} .5480621{col 45}{space 1}   -0.82{col 54}{space 3}0.413{col 62}{space 4} -1.52304{col 75}{space 3} .6253242
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-1.301852{col 34}{space 2} 1.101106{col 45}{space 1}   -1.18{col 54}{space 3}0.237{col 62}{space 4} -3.45998{col 75}{space 3} .8562768
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}  .051044{col 34}{space 2} .1234499{col 45}{space 1}    0.41{col 54}{space 3}0.679{col 62}{space 4}-.1909132{col 75}{space 3} .2930013
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2}-5.122138{col 34}{space 2} 5.623771{col 45}{space 1}   -0.91{col 54}{space 3}0.362{col 62}{space 4}-16.14453{col 75}{space 3} 5.900251
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-2.892317{col 34}{space 2} 1.614511{col 45}{space 1}   -1.79{col 54}{space 3}0.073{col 62}{space 4}-6.056701{col 75}{space 3} .2720673
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2} 3.126125{col 34}{space 2} 2.749303{col 45}{space 1}    1.14{col 54}{space 3}0.256{col 62}{space 4} -2.26241{col 75}{space 3} 8.514661
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2} 1.545225{col 34}{space 2} 1.480986{col 45}{space 1}    1.04{col 54}{space 3}0.297{col 62}{space 4}-1.357454{col 75}{space 3} 4.447903
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store M_H3bATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    1.42
{txt}{col 10}Prob > chi2 =  {res}  0.4911
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (settle_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, exponential) ///
> (direct_reporting lagsettle_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. & fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 3.485e-12}  
Iteration 1:{space 3}EE criterion = {res: 1.179e-18}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       166
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         settle_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2}-1.957774{col 34}{space 2} 5.436224{col 45}{space 1}   -0.36{col 54}{space 3}0.719{col 62}{space 4}-12.61258{col 75}{space 3} 8.697028
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} 2.033491{col 34}{space 2}  5.42238{col 45}{space 1}    0.38{col 54}{space 3}0.708{col 62}{space 4}-8.594179{col 75}{space 3} 12.66116
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store M_H3bATET
{txt}
{com}. *
.  
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. ** LOW ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON LOWER TERCILE [fairnessgsem < -0.0520733]; OTHERWISE = 0 ** 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (settle_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, exponential) ///
> (direct_reporting lagsettle_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. & fairnessgsem < -0.0520733, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.416e-12}  
Iteration 1:{space 3}EE criterion = {res: 2.686e-20}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       168
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:132} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         settle_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .2025354{col 34}{space 2} .3267769{col 45}{space 1}    0.62{col 54}{space 3}0.535{col 62}{space 4}-.4379355{col 75}{space 3} .8430064
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .0735686{col 34}{space 2} .0323397{col 45}{space 1}    2.27{col 54}{space 3}0.023{col 62}{space 4}  .010184{col 75}{space 3} .1369533
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 6}lagsettle_prop {c |}{col 22}{res}{space 2} 2.106543{col 34}{space 2} 1.247182{col 45}{space 1}    1.69{col 54}{space 3}0.091{col 62}{space 4}-.3378889{col 75}{space 3} 4.550976
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-1.038135{col 34}{space 2} .8364761{col 45}{space 1}   -1.24{col 54}{space 3}0.215{col 62}{space 4}-2.677598{col 75}{space 3} .6013285
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.5533523{col 34}{space 2} .4237564{col 45}{space 1}   -1.31{col 54}{space 3}0.192{col 62}{space 4}  -1.3839{col 75}{space 3}  .277195
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.0033509{col 34}{space 2} .1329763{col 45}{space 1}   -0.03{col 54}{space 3}0.980{col 62}{space 4}-.2639796{col 75}{space 3} .2572779
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .1459896{col 34}{space 2}  .108791{col 45}{space 1}    1.34{col 54}{space 3}0.180{col 62}{space 4}-.0672367{col 75}{space 3}  .359216
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} .6799829{col 34}{space 2} .3899634{col 45}{space 1}    1.74{col 54}{space 3}0.081{col 62}{space 4}-.0843313{col 75}{space 3} 1.444297
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.416605{col 34}{space 2} 1.155997{col 45}{space 1}   -1.23{col 54}{space 3}0.220{col 62}{space 4}-3.682317{col 75}{space 3} .8491072
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} 1.570103{col 34}{space 2}   .97882{col 45}{space 1}    1.60{col 54}{space 3}0.109{col 62}{space 4}-.3483489{col 75}{space 3} 3.488555
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.1013524{col 34}{space 2} .5983391{col 45}{space 1}   -0.17{col 54}{space 3}0.865{col 62}{space 4}-1.274076{col 75}{space 3} 1.071371
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.0030096{col 34}{space 2} .1376682{col 45}{space 1}   -0.02{col 54}{space 3}0.983{col 62}{space 4}-.2728343{col 75}{space 3}  .266815
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.2940638{col 34}{space 2} .1778078{col 45}{space 1}   -1.65{col 54}{space 3}0.098{col 62}{space 4}-.6425607{col 75}{space 3} .0544331
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2}-.0557374{col 34}{space 2}  3.40507{col 45}{space 1}   -0.02{col 54}{space 3}0.987{col 62}{space 4}-6.729553{col 75}{space 3} 6.618078
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .1227246{col 34}{space 2}  1.29957{col 45}{space 1}    0.09{col 54}{space 3}0.925{col 62}{space 4}-2.424385{col 75}{space 3} 2.669835
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} 1.496566{col 34}{space 2} 1.013313{col 45}{space 1}    1.48{col 54}{space 3}0.140{col 62}{space 4} -.489491{col 75}{space 3} 3.482624
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .5545683{col 34}{space 2} .5293697{col 45}{space 1}    1.05{col 54}{space 3}0.295{col 62}{space 4}-.4829771{col 75}{space 3} 1.592114
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} -.021783{col 34}{space 2} .0872558{col 45}{space 1}   -0.25{col 54}{space 3}0.803{col 62}{space 4}-.1928012{col 75}{space 3} .1492352
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.1407607{col 34}{space 2} .0932681{col 45}{space 1}   -1.51{col 54}{space 3}0.131{col 62}{space 4}-.3235627{col 75}{space 3} .0420413
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2}-4.425749{col 34}{space 2} 2.986251{col 45}{space 1}   -1.48{col 54}{space 3}0.138{col 62}{space 4}-10.27869{col 75}{space 3} 1.427196
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.3684625{col 34}{space 2} 1.234638{col 45}{space 1}   -0.30{col 54}{space 3}0.765{col 62}{space 4}-2.788309{col 75}{space 3} 2.051384
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.9379776{col 34}{space 2} 1.624792{col 45}{space 1}   -0.58{col 54}{space 3}0.564{col 62}{space 4}-4.122511{col 75}{space 3} 2.246556
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-1.776409{col 34}{space 2} 1.377048{col 45}{space 1}   -1.29{col 54}{space 3}0.197{col 62}{space 4}-4.475374{col 75}{space 3} .9225563
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store L_H3bATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    1.70
{txt}{col 10}Prob > chi2 =  {res}  0.4284
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (settle_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count politicization_lb, exponential) ///
> (direct_reporting lagsettle_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested) if intrep_prop!=. & fairnessgsem < -0.0520733, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.416e-12}  
Iteration 1:{space 3}EE criterion = {res: 1.618e-20}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       168
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:132} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         settle_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .0424445{col 34}{space 2} .0685689{col 45}{space 1}    0.62{col 54}{space 3}0.536{col 62}{space 4}-.0919481{col 75}{space 3} .1768371
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .0424279{col 34}{space 2} .0629431{col 45}{space 1}    0.67{col 54}{space 3}0.500{col 62}{space 4}-.0809383{col 75}{space 3} .1657941
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store L_H3bATET
{txt}
{com}. *
. 
. 
. coefplot (M_H1ATE, rename(r1vs0.direct_reporting="ATE") \ M_H1ATET, rename(r1vs0.direct_reporting="ATET")),bylabel(Moderate OF) ciopts(recast(rcap) lcolor(dkorange)) mcolor(dkorange) msymbol(circle) || (H_H1ATE, rename(r1vs0.direct_reporting="ATE") \ H_H1ATET, rename(r1vs0.direct_reporting="ATET")),bylabel(High OF) ciopts(recast(rcap) lcolor(green)) mcolor(green) msymbol(circle)||,  nokey norecycle vertical ylabel(-1000 (500) 1000, angle(horizon)) yscale(range (-1000 (500) 1000)) yline (0, lcolor(black) lwidth(thin) lpattern(dash)) nooffsets msize(medsmall) xlabel("") byopts(row(1) note("Low OF: Treatment Overlap Assumption Violated", j(right) place(seast) size(vsmall)) title("Figure SA-3.1" "Total Number of Reported Discrimination", size(med))) saving("FigureSA-31")
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}(file FigureSA-31.gph saved)

{com}. graph save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-31.gph", replace
{res}{txt}(file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-31.gph saved)

{com}. 
. coefplot (L_H2ATE, rename(r1vs0.direct_reporting="ATE") \ L_H2ATET, rename(r1vs0.direct_reporting="ATET")), bylabel(Low OF) ciopts(recast(rcap) lcolor(cranberry)) mcolor(cranberry) msymbol(circle)  || (M_H2ATE, rename(r1vs0.direct_reporting="ATE") \ M_H2ATET, rename(r1vs0.direct_reporting="ATET")),bylabel(Moderate OF) ciopts(recast(rcap) lcolor(dkorange)) mcolor(dkorange) msymbol(circle) || (H_H2ATE, rename(r1vs0.direct_reporting="ATE") \ H_H2ATET, rename(r1vs0.direct_reporting="ATET")),bylabel(High OF) ciopts(recast(rcap) lcolor(green)) mcolor(green) msymbol(circle) ||, nokey norecycle vertical ylabel(-0.2 (0.2) 0.8, angle(horizon)) yscale(range (-0.2 (0.2) 0.8)) yline (0, lcolor(black) lwidth(thin) lpattern(dash)) nooffsets msize(medsmall) xlabel("") byopts(row(1) title("Figure SA-3.2" "Informal Caseload Rate", size(med))) saving("FigureSA-32")
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}(file FigureSA-32.gph saved)

{com}. graph save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-32.gph", replace
{res}{txt}(file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-32.gph saved)

{com}. 
. coefplot (L_H3aATE, rename(r1vs0.direct_reporting="ATE") \ L_H3aATET, rename(r1vs0.direct_reporting="ATET")), bylabel(Low OF) ciopts(recast(rcap) lcolor(cranberry)) mcolor(cranberry) msymbol(circle) || (M_H3aATE, rename(r1vs0.direct_reporting="ATE") \ M_H3aATET, rename(r1vs0.direct_reporting="ATET")),bylabel(Moderate OF) ciopts(recast(rcap) lcolor(dkorange)) mcolor(dkorange) msymbol(circle) || (H_H3aATE, rename(r1vs0.direct_reporting="ATE") \ H_H3aATET, rename(r1vs0.direct_reporting="ATET")),bylabel(High OF) ciopts(recast(rcap) lcolor(green)) mcolor(green) msymbol(circle) ||, nokey norecycle vertical ylabel(-0.4 (0.4) 1.2, angle(horizon)) yscale(range (-0.4 (0.4) 1.2)) yline (0, lcolor(black) lwidth(thin) lpattern(dash)) nooffsets msize(medsmall) xlabel("") byopts(row(1) title("Figure SA-3.3" "Withdrawn Caseload Rate", size(med))) saving("FigureSA-33")
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}(file FigureSA-33.gph saved)

{com}. graph save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-33.gph", replace
{res}{txt}(file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-33.gph saved)

{com}. 
. coefplot (L_H3bATE, rename(r1vs0.direct_reporting="ATE") \ L_H3bATET, rename(r1vs0.direct_reporting="ATET")), bylabel(Low OF) ciopts(recast(rcap) lcolor(cranberry)) mcolor(cranberry) msymbol(circle) || (M_H3bATE, rename(r1vs0.direct_reporting="ATE") \ M_H3bATET, rename(r1vs0.direct_reporting="ATET")),bylabel(Moderate OF) ciopts(recast(rcap) lcolor(dkorange)) mcolor(dkorange) msymbol(circle) || (H_H3bATE, rename(r1vs0.direct_reporting="ATE") \ H_H3bATET, rename(r1vs0.direct_reporting="ATET")),bylabel(High OF) ciopts(recast(rcap) lcolor(green)) mcolor(green) msymbol(circle) ||,  nokey norecycle vertical ylabel(-12 (4) 8, angle(horizon)) yscale(range (-12 (4) 8)) yline (0, lcolor(black) lwidth(thin) lpattern(dash)) nooffsets msize(medsmall) xlabel("") byopts(row(1) title("Figure SA-3.4" "Settlement Caseload Rate", size(med))) saving("FigureSA-34")
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}(file FigureSA-34.gph saved)

{com}. graph save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-34.gph", replace
{res}{txt}(file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-34.gph saved)

{com}. 
. gr combine FigureSA-31.gph FigureSA-32.gph FigureSA-33.gph FigureSA-34.gph, note("Point Estimates and Corresponding 95% Confidence Intervals", j(right) place(seast) size(vsmall))
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}
{com}. 
. 
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Output\CROAs.JPART MOVE POLITICIZATION TO PEOS MODELS.06-18-2022.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}18 Jun 2022, 19:08:22
{txt}{.-}
{smcl}
{txt}{sf}{ul off}